Timeline of computing 2020–present

From Wikipedia the free encyclopedia

Top View

This article presents a detailed timeline of events in the history of computing from 2020 to the present. For narratives explaining the overall developments, see the history of computing.

Significant events in computing include events relating directly or indirectly to software, hardware and wetware. Excluded (except in instances of significant functional overlap) are:

  • events in general robotics
  • events about uses of computational tools in biotechnology and similar fields (except for improvements to the underlying computational tools) as well as events in media-psychology except when those are directly linked to computational tools

Currently excluded are:

Growth of supercomputer performance, based on data from the top500.org website. The logarithmic y-axis shows performance in GFLOPS.
  Combined performance of 500 largest supercomputers
  Fastest supercomputer
  Supercomputer in 500th place
Share of operating systems families in TOP500 supercomputers by time trend
Usage share of web browsers in November 2020 according to StatCounter

2025

[edit]

AI

[edit]

  • On January 14, the New York Times, The New York Daily News, and the Center of Investigative Reporting have a hearing in a combined lawsuit against OpenAI.
  • OpenAI develops a model called "GPT 4b-micro", which suggests ways that protein factors could be re-engineered to become more effective.
  • DeepSeek releases DeepSeek-R1 on 20th January, a large language model based on DeepSeek-V3 utilising a chain-of-thought process similar to OpenAI o1.

2024

[edit]

AI

[edit]

Hardware

[edit]

  • Researchers describe an approach for an optical disk with petabit capacity,

Internet penetration

[edit]

  • According to the International Telecommunication Union, the global Internet population reached 5.5 billion in 2024, meaning more than two-thirds of the world's population is now online.

2023

[edit]

AI

[edit]
Combining GPT-4 and Stable Diffusion to generate art from sketches

  • Chatbot and text-generating AI, ChatGPT (released on 30 Nov 2022), a large language model, became popular, with some considering the large public's attention as unwarranted hype as potential applications are limited. Similar software such as Cleverbot existed for many years, and the software is, on the fundamental level, not structured toward accuracy – e.g. providing seemingly credible but incorrect answers to queries and operating "without a contextual understanding of the language" – but only toward essentially the authenticity of mimicked human language. It was estimated that only two months after its launch, it had 100 million active users. Applications may include solving or supporting school writing assignments, malicious social bots (e.g. for misinformation, propaganda, and scams), and providing inspiration (e.g. for artistic writing or in design or ideation in general).
  • Google released chatbot Bard due to effects of the ChatGPT release, with potential for integration into its Web search and, like ChatGPT software, also as a software development helper tool. DuckDuckGo released the DuckAssist feature integrated into its search engine that summarizes information from Wikipedia to answer search queries that are questions. The experimental feature was shut down without explanation on 12 April. There has been further development regarding LLMs or ChatGPT as user interfaces of Wikipedia or as software using its structured knowledge by others. It may demonstrate an alternative approach to ChatGPT whose fundamental algorithms are not designed to generate text that is true, including for example "hallucinations" and fake citations or misinformation more generally. Elicit.org may provide a free alternative to this tool. A broader alternative approach to the software's Q&A applications and use of text generation for assignments may be the improvement of media literacy and Web search skills in education systems.
  • Further LLM developments during what has been called an "AI boom" included: local or open source versions of LLaMA which was leaked in March, news outlets reported on GPT4-based Auto-GPT that given natural language commands uses the Internet and other tools in attempts to understand and achieve its tasks with unclear or so-far little practicality, a systematic evaluation of answers from four "generative search engines" suggested their outputs "appear informative, but frequently contain unsupported statements and inaccurate citations", a multi-modal open source tool for understanding and generating speech, a data scientist argued that "researchers need to collaborate to develop open-source LLMs that are transparent" and independent, Stability AI launched an open source LLM.
  • A method for editing NeRF scenes, a novel media technique from 2020, with natural language commands was demonstrated by Nvidia.
  • An open letter "Pause Giant AI Experiments" initiated by the Future of Life Institute called for "AI labs to immediately pause for at least 6 months the training of AI systems more powerful than GPT-4" due to "profound risks to society and humanity". It received substantial media attention and also contributed to speculations about perceived large LLM potential). At the time there was extensive media coverage of views that regard ChatGPT as a potential step towards AGI or sentient machines, also extending to some academic works (e.g. a popular preprint by a company). The coverage focused on such views may not represent the majority expert views and, for example, some researchers noted that e.g. the ability to generate coherent text and imitations are not the same as understanding language. A set of techniques under development included self-refining code or text.
  • ChatGPT was shown to outperform human doctors in responding to online medical questions when measured on quality and empathy by "a team of licensed health care professionals", albeit the chatbot may have previously been trained with these reddit question and answers threads.
  • News outlets reported on a preprint that described the development of a large language model software that can answer medical questions with a 67.6% accuracy on MedQA and nearly matched human clinician performance when answering open-ended medical questions, Med-PaLM. The AI makes use of comprehension-, recall of knowledge-, and medical reasoning-algorithms but remains inferior to clinicians. As of 2023, humans often – if not most often – conduct query-based web searches, read websites and/or conduct physical doctor's visits to inquire health information, despite various difficulties, partly as they typically did not undergo any formal training in media literacy, digital literacy or health literacy, as such is not part of schools curricula in most education systems as of 2023.
  • A novel potentially significantly more efficient text-to-image approach, as implemented in MUSE, was reported.
  • A first successful autonomous long-duration operation, including simulated combat, of a modified F-16 fighter jet, X-62A, by two AI software was reported.
  • A text-to-speech synthesizer, VALL-E, that can be trained to mimic anybody's voice with just three seconds of voice data and may produce the most natural-sounding results to date, was reported in a preprint.
  • A use of world models for a wide range of domains that make decisions using e.g. different 3D worlds and reward frequencies and outperforms previous approaches, DreamerV3, was reported as a step towards general artificial intelligence in a preprint.
  • A large language model, ProGen, that can generate functional protein sequences with a predictable function, with input including tags specifying protein properties, was reported.
  • A deep-learning model, ZFDesign, for zinc finger design for any genomic target for gene- and epigenetic-editing was reported.
  • Software for generating 3D dynamic scenes (text-to-4D), MAV3D, was reported.
  • A study reported the development of deep learning algorithms to identify technosignature candidates, finding 8 potential alien signals not detected earlier.
  • An international norms and arms control proposal for artificial intelligence in the military (such as LAWs and weapons decision-making), the "Political Declaration on Responsible Military Use of Artificial Intelligence and Autonomy]", was published by the U.S. government. The first international summit on military AI led to a joint unbinding statement by the U.S., China and other nations, with some external calls for starting negotiations on an internationally binding law or an enforcement-mechanisms-driven law.
  • The world's first COVID-19 drug designed by generative AI was approved for human use, with clinical trials expected to begin in China. The new drug, ISM3312, was developed by Insilico Medicine.
  • The LLM GPT-4 was launched by OpenAI. It and ChatGPT based on it continued to receive major global media attention.
  • Researchers suggested that growing influence of industry in AI research means that "public interest alternatives for important AI tools may become increasingly scarce".
  • Google revealed PaLM-E, an embodied multimodal language model with 562 billion parameters.
AI Descartes system overview

  • Researchers demonstrated an open source 'AI scientist' that can create models of natural phenomena from knowledge axioms and experimental data, showing the software can rediscover physical laws like "Kepler's third law of planetary motion, Einstein's relativistic time-dilation law, and Langmuir's theory of adsorption" using logical reasoning and a few data points.
The fMRI machine used for brain-reading

  • Researchers demonstrated a non-invasive brain-reading method. It can translate a person's neural activity into a continuous stream of text using fMRI data and transformer machine learning. Prior training data is required for this semantic decoding. Participants listened to stories for 16 hours while their brain activity was recorded.
  • A new AI algorithm developed by Baidu was shown to boost the antibody response of COVID-19 mRNA vaccines by 128 times.
Outline of the study's open source virtual brain model.

Illustration of "thought cloning"

  • A preprint introduces the concept of "thought cloning" by which AI use data of or imitate human thinking.
  • Metaresearchers showed that AI trained with study-author-networks data could generate scientifically promising "alien" hypotheses that would likely not be considered otherwise.
  • A study provides an overview and living review of open source LLMs, assessing the levels of openness of their differentiated elements and reviewing the risks of relying on proprietary software or the importance of open source AI.
Summary of the Med-PaLM MMed-PaLM M training data

Software-hardware systems

[edit]

Robot arm R2 operation of the autonomous lab

Software

[edit]

An experiment suggests people and search engines often fail in online searches for evaluating misinformation

Hardware and wetware

[edit]

Scientists coin and outline a new field 'organoid intelligence' (OI)

Bioinspired neuromorphic motion-cognition nerve in comparison with an ocular-vestibular cross-modal sensory nerve of macaques

  • Researchers reported the development of neuromorphic AI hardware using nanowires (see also 2020-04-20) physically mimicking the brain's activity in identifying and remembering an image from memory. A university reported on a demonstration of multisensory motion cue integration by a neuromorphic nerve for robots.
"BacCam" demonstrates encoding and storing data into bacterial DNA without new DNA synthesis by recording light exposure.

2022

[edit]

AI

[edit]

AI company DeepMind reported that its AlphaFold program had determined the likely structure of nearly every protein known to science.

Deep learning systems learn intuitive basic physics similar to infants and any physics via potential variables-identification from only visual data (of virtual 3D environments).

Software-hardware systems

[edit]

The overall process of testing the reproducibility and robustness of the cancer biology literature via Eve

Software

[edit]

Measured results of the study about change in intelligence in children 9–12 from screen time watching, screen time socializing and screen time gaming.

  • Progress in climate change mitigation (CCM) living review-like works:
    The living document-like aggregation, assessment, integration and review website Project Drawdown added 11 new CCM solutions to its organized set of mitigation techniques. The website's modeling framework was used in a study document to show that metal recycling has significant potential for CCM. A revised or updated version, using computer models, of a major worldwide 100% renewable energy proposed plan and model was published.
  • Teaching hospital press release: "New AI technology integrates multiple data types to predict cancer outcomes". Brigham and Women's Hospital via medicalxpress.com. Retrieved September 18, 2022.</ref>
  • News outlets reported that in July, for the first time, more people watched streaming TV than cable within the U.S..
  • A researcher reported that the social media app TikTok adds a keylogger to its, on iOS essentially unavoidable, in-app browser in iOS, which allows its Chinese company to gather, for example, passwords, credit card details, and everything else that is typed into websites opened from taps on any external links within the app. Shortly after the report, the company claimed such capabilities are only used for debugging-types of purposes. To date, it has largely not been investigated which and to which extent (other) apps have capacities for such or similar data-collection.
  • A university reported the development of a driver isolation framework to protect operating system kernels, primarily the monolithic Linux kernel which gets ~80,000 commits/year to its drivers, from defects and vulnerabilities in device drivers, with the Mars Research Group developers describing this lack of isolation as one of the main factors undermining kernel security.
  • A study concluded that advanced artificial intelligence with learned goal planning would or may intervene in the provision of reward to short-circuit reward via advanced exploits of ambiguity in the data about its goal such as considering the sending of the reward itself as humans' goal and intervening in the data-provision about its goal.
~August: Artificial intelligence art became highly sophisticated and popular and started winning art prizes. The two images are made via the open source Stable Diffusion.

Hardware

[edit]

2021

[edit]

A study found that carbon emissions from Bitcoin mining in China – where a majority of the proof-of-work algorithm that generates current economic value is computed, largely fueled by nonrenewable sources – have accelerated rapidly and would soon exceed total annual emissions of countries like Italy, interfering with climate change mitigation commitments.

  • A study found that carbon emissions from Bitcoin mining in China – where a majority of the proof-of-work algorithm that generates current economic value is computed, largely fueled by nonrenewable sources – had accelerated rapidly and would soon exceed total annual emissions of countries like Italy, interfering with climate change mitigation commitments.
  • Neuralink revealed a male macaque with chips embedded on each side of its brain, playing a mind-controlled version of Pong. While similar technology has been demonstrated for decades, and wireless implants have existed for years, some observers noted that the organization increased the number of implanted electrodes that are read wirelessly.
  • Scientists reviewed materials strategies for organic neuromorphic devices, suggesting that "their biocompatibility and mechanical conformability give them an advantage for creating adaptive biointerfaces, brain-machine interfaces, and biology-inspired prosthetics".
Researchers published the first in-depth study of Web browser tab interfaces.

  • Researchers published the first in-depth study of Web browser tab interfaces. They found that many people struggle with tab overload and conducted surveys and interviews about people's tab use. Thereby they formalized pressures for closing tabs and for keeping tabs open. The authors then developed related UI design considerations which could enable better tools and changes to the code of Web browsers – like Firefox – that allow knowledge workers and other users to better manage their tabs.
  • Operation of the U.S. Colonial Pipeline was interrupted by a ransomware cyber attack.
  • A new record for the smallest single-chip system was achieved, occupying a total volume of less than 0.1 mm³.
Scientists demonstrated the first brain–computer interface that decodes neural signals for handwriting and has a record output speed of up to 90 characters per minute – more than double the previous record.

  • Scientists demonstrated the first brain–computer interface that decodes neural signals for handwriting. The character output speed of a patient with a paralyzed hand was up to 90 characters per minute – more than double the previous record. Each letter is associated with a highly distinctive pattern of activity in the brain, making it relatively easy for the algorithm to distinguish them.
  • Archivists initiated a rescue mission to secure enduring access to humanity's largest public library of scientific articles, Sci-Hub, due to the site's increased legal troubles, using Web and BitTorrent technologies.
  • Google demonstrated a research project called LaMDA, an automatic language generation system designed to sustain a conversation with a person on any topic.
  • The most comprehensive 3D map of the human brain – of a millionth of a brain and requiring 1.4 petabytes of storage space – was published.
  • El Salvador passed the Bitcoin Law, making it the first country to give cryptocurrency and bitcoin a status of legal tender. The law was passed by the Legislative Assembly of El Salvador on June 8, 2021, giving the cryptocurrency bitcoin the status of legal tender within El Salvador after September 7, 2021. It was proposed by President Nayib Bukele. The text of the law states that "the purpose of this law is to regulate bitcoin as unrestricted legal tender with liberating power, unlimited in any transaction, and to any title that public or private natural or legal persons require carrying out".
  • GitHub Copilot, a programmer assistant AI, was released. Later FOSS variants of the tool included FauxPilot.
Scientists debated the research cognitive impacts of smartphones and digital technology in general and by prevalent forms of use.

  • In the debate regarding the cognitive impacts of smartphones and digital technology, a group reported that, contrary to widespread belief, scientific evidence does not show that these technologies harm biological cognitive abilities and that they instead change predominant ways of cognition – such as a reduced need to remember facts or conduct mathematical calculations by pen and paper outside contemporary schools. However, some activities – like reading novels – that require long attention-spans and don't feature ongoing rewarding stimulation may become more challenging in general.
  • Open 3D Engine – a game engine that is free and open source software (FOSS) and has Linux support – was released.
  • Researchers used a brain–computer interface to enable a man who was paralyzed since 2003 to produce comprehensible words and sentences by decoding signals from electrodes in the speech areas of his brain.
  • Japan achieved a new world record Internet speed: 319 Tbit/s over ~3000 km which, albeit not being the fastest speed overall, beats the previous record of 178 Tbit/s.
  • Scientists reported that worldwide adolescent loneliness and depression increased substantially after 2012 and that loneliness in contemporary schools appears to be associated with smartphone access and Internet use.
DeepMind's AlphaFold AI predicted the structures of over 350,000 proteins, including 98.5% of the ~20,000 proteins in the human body, along with degrees of confidence for accuracy.

  • DeepMind announced that its AlphaFold AI had predicted the structures of over 350,000 proteins, including 98.5% of the ~20,000 proteins in the human body. The 3D data along with their degrees of confidence for accuracy was made freely available with a database, doubling the previous number of protein structures in the public domain.
  • Scientists published the first complete neuron-level-resolution 3D map of a monkey brain which they scanned within 100 hours.
A researcher reported that solar superstorms would cause large-scale global months-long Internet outages.

Researchers developed machine learning models for genome-based early detection and prioritization of high-risk potential zoonotic viruses.

  • Scientists concluded that personal carbon allowances (PCAs) could be a component of climate change mitigation. They found that the economic recovery from COVID-19 and novel digital technology capacities open a window of opportunity for first implementations. PCAs would consist of – e.g. monetary – credit-feedbacks and decreasing default levels of per capita emissions concessions. The researchers found that recent advances in machine learning technology and "smarter home and transport options make it possible to easily track and manage a large share of individuals' emissions" and that feedback effective in engaging individuals to reduce their energy-related emissions and relevant new personalized apps could be designed. Issues may include privacy, evaluating emissions from individuals co-running multinational companies and the availability and prices of products and services.
  • Cerebras announced a new hardware and software platform that can support AI models of 120 trillion parameters, enabling neural networks greater than the equivalent number of human brain synapses.
  • Pathogen researchers reported the development of machine learning models for genome-based early detection and prioritization of high-risk potential zoonotic viruses in animals prior to spillover to humans. They concluded that their tool could be used for virus surveillance for pandemic prevention via (i.a.) measures of "early investigation and outbreak preparedness" and would have been capable of predicting SARS-CoV-2 as a high-risk strain.
  • A loss of public IP routes to the Facebook DNS servers due to malfunctioning capacity-assessment code, routinely triggered after configuration changes of routers of the company's data centers, resulted in stoppage of BGP routing information broadcasts caused the 2021 Facebook outage.
  • A study of data traffic by popular smartphones running variants of the Android software found substantial by-default data collection and sharing with no opt-out (i.e. even the NetGuard firewall, which is not installed by default, may not reliably and completely prevent such data traffic) and implications for users' privacy, control and security.
  • Media outlets reported novel technologies for virtual try-ons of clothes for more sustainable fashion and improved online shopping, which increased relative to shopping at local shops that store clothes due to the COVID-19 pandemic.
  • A method of DNA data storage with 100 times the density of previous techniques was announced.
  • Scientists demonstrated that grown brain cells integrated into digital systems can carry out goal-directed tasks with performance-scores. In particular, playing a simulated (via electrophysiological stimulation) Pong which the cells learned to play faster than known machine intelligence systems, albeit to a lower skill-level than both AI and humans, was reported. Moreover, the study suggested it provides the "first empirical evidence" of information-processing capacity differences between neurons from different species.
  • Researchers reported the development of organic low-power neuromorphic electronics which they built into a robot, enabling it to learn sensorimotorically within the real world, rather than via simulations like in the study above. For the chip, polymers were used and coated with an ion-rich gel to enable the material to carry an electric charge like real neurons.
  • Researchers reported the development of a system of machine learning and hyperspectral camera that can distinguish between 12 different types of plastics such as PET and PP for automated separation of waste of, as of 2020, highly unstandardized plastics products and packaging.
  • A scientific review summarized research and data about telemedicine. Its results indicated that, in general, outcomes of such ICT-use are as good as in-person care with health care use staying similar.
  • The Log4Shell security vulnerability in a Java logging framework was publicly disclosed two weeks after its discovery. Because of the ubiquity of the affected software, experts have described it as a most serious computer vulnerability. In a high-level meeting, the importance of security maintenance of open-source software – often also carried out largely by few volunteers – to national security was clarified.
Schema of how the open database, interactive visualization tools, protocols and a metadata ontology for reporting device data, open-source code for data analysis, etc. can support perovskite solar cell development

  • Researchers reported the development of a database and analysis tool about perovskite solar cells which systematically integrates over 15,000 publications, in particular device-data about over 42,400 of such photovoltaic devices. Authors described the site – which requires signing up to access the data and uses software that is partly open source but to date not free software – as a participative "Wikipedia for perovskite solar cell research" and suggest that extensively capturing the progress of an entire field including interactive data exploration functionalities could also be applicable to many fields in materials science, engineering and biosciences.
  • A third main convergent graphical shell (Maui Shell) and UI framework (MauiKit), based on KDE/Kirigami, for the Linux operating system on smartphones, desktops and other devices, was released.

2020

[edit]

Awards and challenges

[edit]

To display all pages, subcategories and images click on the "►":

Award / challenge Year Recipient/s / winner/s Description
FSF Free Software Awards – Advancement of Free Software award 2020 Bradley M. Kuhn For his work in enforcing the GNU General Public License (GPL) and promoting copyleft through his position at Software Freedom Conservancy.
FSF Free Software Awards – Advancement of Free Software award 2021 Paul Eggert A computer scientist who teaches in the Department of Computer Science at the University of California, Los Angeles, contributor to the GNU operating system for over thirty years and current maintainer of the Time Zone Database.
FSF Free Software Awards – Social benefit award 2020 CiviCRM Free program that nonprofit organizations around the world use to manage their mailings and contact databases
FSF Free Software Awards – Social benefit award 2021 SecuRepairs An association of information security experts who support the right to repair
FSF Free Software Awards – Award for outstanding new Free Software contributor 2020 Alyssa Rosenzweig Leads the Panfrost project, a project to reverse engineer and implement a free driver for the Mali series of graphics processing units (GPUs) used on a wide variety of single-board computers and mobile phones.
FSF Free Software Awards – Award for outstanding new Free Software contributor 2021 Protesilaos Stavrou A philosopher who since 2019 has become a mainstay of the GNU Emacs community through his blog posts, conference talks, livestreams, and code contributions.

Digital policy

[edit]

Open policy proposals

[edit]

Deaths

[edit]

2025

[edit]

2024

[edit]

2023

[edit]

2022

[edit]

  • January 2: Hagit Shatkay, 56, Israeli-American computer scientist
  • January 30: Takao Nishizeki, 74, Japanese mathematician and computer scientist
  • February 16: Lorinda Cherry, 77, American computer scientist and programmer
  • February 28: Mary Coombs, 93, British computer programmer
  • September 2: Peter Eckersley, 43, Australian computer scientist

2021

[edit]

2020

[edit]

Further topics

[edit]

Very broad outlines of topic domains and topics with substantial progress during the decade not yet included above with a Further information: link:

Software

[edit]

COVID-19

[edit]

Economic events and economics

[edit]

General topics

New releases

[edit]

To display all pages, subcategories and images click on the "►":

2020s robots (2 C, 1 P)

See also

[edit]

References

[edit]
  1. ^ Allyn, Bobby (January 14, 2025). "'The New York Times' takes OpenAI to court. ChatGPT's future could be on the line". NPR. Retrieved January 21, 2025.
  2. ^ "OpenAI has created an AI model for longevity science". MIT Technology Review. Retrieved January 21, 2025.
  3. ^ "DeepSeek explained: Everything you need to know". WhatIs. Retrieved January 30, 2025.
  4. ^ Prisco, Jacopo (January 12, 2024). "Are fingerprints unique? Not really, AI-based study says". CNN. Retrieved May 9, 2024.
  5. ^ Guo, Gabe; Ray, Aniv; Izydorczak, Miles; Goldfeder, Judah; Lipson, Hod; Xu, Wenyao (January 12, 2024). "Unveiling intra-person fingerprint similarity via deep contrastive learning". Science Advances. 10 (2): eadi0329. Bibcode:2024SciA...10I.329G. doi:10.1126/sciadv.adi0329. ISSN 2375-2548. PMC 10786417. PMID 38215200.
  6. ^ Petersen, Tanya. "AI's new power of persuasion: Study shows LLMs can exploit personal information to change your mind". techxplore.com. Retrieved May 15, 2024.
  7. ^ Salvi, Francesco; Manoel Horta Ribeiro; Gallotti, Riccardo; West, Robert (May 2025). "On the conversational persuasiveness of GPT-4". Nature Human Behaviour. arXiv:2403.14380. doi:10.1038/s41562-025-02194-6. ISSN 2397-3374.
  8. ^ Wiggers, Kyle (February 15, 2024). "This German nonprofit is building an open voice assistant that anyone can use". TechCrunch. Retrieved May 13, 2024.
  9. ^ Emir, Can. "AI waste-sorting robot to detect over 500 waste categories". Interesting Engineering. Retrieved May 13, 2024.
  10. ^ Liang, Yaobo; Wu, Chenfei; Song, Ting; Wu, Wenshan; Xia, Yan; Liu, Yu; Ou, Yang; Lu, Shuai; Ji, Lei; Mao, Shaoguang; Wang, Yun; Shou, Linjun; Gong, Ming; Duan, Nan (January 2024). "TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs". Intelligent Computing. 3. arXiv:2303.16434. doi:10.34133/icomputing.0063. ISSN 2771-5892.
  11. ^ David, Emilia (March 18, 2024). "xAI open sources Grok". The Verge. Retrieved June 8, 2024.
  12. ^ "Grokking X.ai's Grok—Real Advance or Just Real Troll? - IEEE Spectrum". IEEE. Retrieved June 8, 2024.
  13. ^ Yirka, Bob. "A DVD-sized disk that can store 1 million movies". techxplore.com. Retrieved May 13, 2024.
  14. ^ Zhao, Miao; Wen, Jing; Hu, Qiao; Wei, Xunbin; Zhong, Yu-Wu; Ruan, Hao; Gu, Min (February 2024). "A 3D nanoscale optical disk memory with petabit capacity". Nature. 626 (8000): 772–778. Bibcode:2024Natur.626..772Z. doi:10.1038/s41586-023-06980-y. ISSN 1476-4687. PMID 38383625.
  15. ^ "Global Internet use continues to rise but disparities remain, especially in low-income regions". International Telecommunication Union.
  16. ^ "ITU: Global Internet users hit 5.5 billion, digital divide persists". Developing Telecom.
  17. ^ Bubeck, Sébastien; Chandrasekaran, Varun; Eldan, Ronen; Gehrke, Johannes; Horvitz, Eric; Kamar, Ece; Lee, Peter; Lee, Yin Tat; Li, Yuanzhi; Lundberg, Scott; Nori, Harsha; Palangi, Hamid; Ribeiro, Marco Tulio; Zhang, Yi (April 13, 2023). "Sparks of Artificial General Intelligence: Early experiments with GPT-4". arXiv:2303.12712 [cs.CL].
  18. ^ "ChatGPT und andere Sprachmodelle – zwischen Hype und Kontroverse". www.sciencemediacenter.de. Archived from the original on February 18, 2023. Retrieved February 18, 2023.
  19. ^ "ChatGPT is 'not particularly innovative,' and 'nothing revolutionary', says Meta's chief AI scientist". ZDNET. Archived from the original on February 17, 2023. Retrieved February 18, 2023.
  20. ^ Shen, Yiqiu; Heacock, Laura; Elias, Jonathan; Hentel, Keith D.; Reig, Beatriu; Shih, George; Moy, Linda (January 26, 2023). "ChatGPT and Other Large Language Models Are Double-edged Swords". Radiology. 307 (2): 230163. doi:10.1148/radiol.230163. ISSN 0033-8419. PMID 36700838. S2CID 256272939.
  21. ^ "ChatGPT: Bullshit spewer or the end of traditional assessments in higher education?". Journal of Applied Learning & Teaching. 6 (1). January 25, 2023. doi:10.37074/jalt.2023.6.1.9. S2CID 256288636.
  22. ^ Kelly, Samantha Murphy (December 5, 2022). "This AI chatbot is dominating social media with its frighteningly good essays". CNN. Archived from the original on February 17, 2023. Retrieved February 18, 2023.
  23. ^ "What is ChatGPT and why does it matter? Here's everything you need to know". ZDNET. Archived from the original on February 15, 2023. Retrieved February 18, 2023.
  24. ^ Villasenor, John. "How ChatGPT Can Improve Education, Not Threaten it". Scientific American. Archived from the original on February 17, 2023. Retrieved February 18, 2023.
  25. ^ "Analysis | Bing Trouble: Google, OpenAI Are Opening Up Pandora's Bots". Washington Post. Retrieved February 18, 2023.
  26. ^ Hsu, Tiffany; Thompson, Stuart A. (February 8, 2023). "Disinformation Researchers Raise Alarms About A.I. Chatbots". The New York Times. Archived from the original on February 17, 2023. Retrieved February 18, 2023.
  27. ^ Ruzich, Dan (February 14, 2023). "CU Denver Panel Discusses the Role of ChatGPT in Higher Education -". CU Denver News. Archived from the original on February 18, 2023. Retrieved February 18, 2023.
  28. ^ Clark, Peter Allen (February 17, 2023). "Cybersecurity experts see uses and abuses in new wave of AI tech". Axios. Archived from the original on February 17, 2023. Retrieved February 18, 2023.
  29. ^ Dastin, Jeffrey (March 21, 2023). "Google begins opening access to its ChatGPT competitor Bard". Reuters. Retrieved April 23, 2023.
  30. ^ "Google Bard can now help write software code". Reuters. April 21, 2023. Retrieved April 23, 2023.
  31. ^ "DuckDuckGo launches DuckAssist: a new feature that generates natural language answers to search queries using Wikipedia". March 8, 2023. Retrieved April 23, 2023.
  32. ^ Lomas, Natasha (March 8, 2023). "DuckDuckGo dabbles with AI search". TechCrunch. Retrieved April 23, 2023.
  33. ^ Roth, Emma (March 8, 2023). "DuckDuckGo's building AI-generated answers into its search engine". The Verge. Retrieved April 23, 2023.
  34. ^ Weller, Orion; Marone, Marc; Weir, Nathaniel; Lawrie, Dawn; Khashabi, Daniel; Benjamin Van Durme (May 22, 2023). ""According to ..." Prompting Language Models Improves Quoting from Pre-Training Data". arXiv:2305.13252 [cs.CL].
  35. ^ Pinchuk, Maryana (July 13, 2023). "Exploring paths for the future of free knowledge: New Wikipedia ChatGPT plugin, leveraging rich media social apps, and other experiments". Diff. Retrieved August 10, 2023.
  36. ^ Bello, Camille (April 1, 2023). "These AI tools could help boost your academic research". euronews. Retrieved April 23, 2023.
  37. ^ "AI literacy might be ChatGPT's biggest lesson for schools". MIT Technology Review. Retrieved April 23, 2023.
  38. ^ Hillier, Mathew (February 20, 2023). "Why does ChatGPT generate fake references?". TECHE. Retrieved April 23, 2023.
  39. ^ Bello, Camille (May 8, 2023). "These AI tools could help boost your academic research". euronews. Retrieved May 15, 2023.
  40. ^ Edwards, Benj (March 13, 2023). "You can now run a GPT-3-level AI model on your laptop, phone, and Raspberry Pi". Ars Technica.
  41. ^ "RedPajama replicates LLaMA dataset to build open source, state-of-the-art LLMs". VentureBeat. April 18, 2023. Retrieved May 28, 2023.
  42. ^ Metz, Cade; Isaac, Mike (May 18, 2023). "In Battle Over A.I., Meta Decides to Give Away Its Crown Jewels". The New York Times. Retrieved May 28, 2023.
  43. ^ "What is Auto-GPT? Everything to know about the next powerful AI tool". ZDNET. Retrieved May 28, 2023.
  44. ^ Liu, Nelson F.; Zhang, Tianyi; Liang, Percy (2023). "Evaluating Verifiability in Generative Search Engines". arXiv:2304.09848 [cs.CL].
  45. ^ Huang, Rongjie; Li, Mingze; Yang, Dongchao; Shi, Jiatong; Chang, Xuankai; Ye, Zhenhui; Wu, Yuning; Hong, Zhiqing; Huang, Jiawei; Liu, Jinglin; Ren, Yi; Zhao, Zhou; Watanabe, Shinji (2023). "AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head". arXiv:2304.12995 [cs.CL].
  46. ^ Spirling, Arthur (April 18, 2023). "Why open-source generative AI models are an ethical way forward for science". Nature. 616 (7957): 413. Bibcode:2023Natur.616..413S. doi:10.1038/d41586-023-01295-4. PMID 37072520. S2CID 258183146.
  47. ^ Roth, Emma (April 19, 2023). "Stability AI announces new open-source large language model". The Verge. Retrieved May 28, 2023.
  48. ^ Gao, Kyle; Gao, Yina; He, Hongjie; Lu, Dening; Xu, Linlin; Li, Jonathan (December 18, 2022). "NeRF: Neural Radiance Field in 3D Vision, A Comprehensive Review". arXiv:2210.00379 [cs.CV].
  49. ^ "UC Berkeley's Instruct-NeRF2NeRF Edits 3D Scenes With Text Instructions | Synced". syncedreview.com. April 11, 2023. Retrieved April 23, 2023.
  50. ^ Haque, Ayaan; Tancik, Matthew; Efros, Alexei A.; Holynski, Aleksander; Kanazawa, Angjoo (March 22, 2023). "Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions". arXiv:2303.12789 [cs.CV].
  51. ^ "Musk, scientists call for halt to AI race sparked by ChatGPT". AP NEWS. March 29, 2023. Retrieved April 23, 2023.
  52. ^ "Pause Giant AI Experiments: An Open Letter". Future of Life Institute. Retrieved April 23, 2023.
  53. ^ Knight, Will. "Some Glimpse AGI in ChatGPT. Others Call It a Mirage". Wired. Retrieved April 23, 2023.
  54. ^ VK, Anirudh (April 13, 2023). "LLMs Can Now Self-Debug. Should Developers Be Worried?". Analytics India Magazine. Retrieved April 23, 2023.
  55. ^ "AI has better 'bedside manner' than some doctors, study finds". The Guardian. April 28, 2023. Retrieved April 29, 2023.
  56. ^ Ayers, John W.; Poliak, Adam; Dredze, Mark; Leas, Eric C.; Zhu, Zechariah; Kelley, Jessica B.; Faix, Dennis J.; Goodman, Aaron M.; Longhurst, Christopher A.; Hogarth, Michael; Smith, Davey M. (April 28, 2023). "Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum". JAMA Internal Medicine. 183 (6): 589–596. doi:10.1001/jamainternmed.2023.1838. ISSN 2168-6106. PMC 10148230. PMID 37115527.
  57. ^ "Google's AI is best yet at answering medical and health questions". New Scientist. Archived from the original on January 25, 2023. Retrieved February 18, 2023.
  58. ^ Papadopoulos, Loukia (January 4, 2023). "Google and DeepMind just launched MedPaLM, a large language model". interestingengineering.com. Archived from the original on February 11, 2023. Retrieved February 18, 2023.
  59. ^ Singhal, Karan; Azizi, Shekoofeh; Tu, Tao; Mahdavi, S. Sara; Wei, Jason; Chung, Hyung Won; Scales, Nathan; Tanwani, Ajay; Cole-Lewis, Heather; Pfohl, Stephen; Payne, Perry; Seneviratne, Martin; Gamble, Paul; Kelly, Chris; Scharli, Nathaneal; Chowdhery, Aakanksha; Mansfield, Philip; Arcas, Blaise Aguera y; Webster, Dale; Corrado, Greg S.; Matias, Yossi; Chou, Katherine; Gottweis, Juraj; Tomasev, Nenad; Liu, Yun; Rajkomar, Alvin; Barral, Joelle; Semturs, Christopher; Karthikesalingam, Alan; Natarajan, Vivek (December 26, 2022). "Large Language Models Encode Clinical Knowledge". arXiv:2212.13138 [cs.CL].
  60. ^ Langford, Aisha T.; Roberts, Timothy; Gupta, Jaytin; Orellana, Kerli T.; Loeb, Stacy (May 2020). "Impact of the Internet on Patient-Physician Communication". European Urology Focus. 6 (3): 440–444. doi:10.1016/j.euf.2019.09.012. PMID 31582312. S2CID 203660703.
  61. ^ Tan, Sharon Swee-Lin; Goonawardene, Nadee (January 19, 2017). "Internet Health Information Seeking and the Patient-Physician Relationship: A Systematic Review". Journal of Medical Internet Research. 19 (1): e9. doi:10.2196/jmir.5729. PMC 5290294. PMID 28104579.
  62. ^ Ramsey, Imogen; Corsini, Nadia; Peters, Micah D.J.; Eckert, Marion (September 2017). "A rapid review of consumer health information needs and preferences". Patient Education and Counseling. 100 (9): 1634–1642. doi:10.1016/j.pec.2017.04.005. PMID 28442155.
  63. ^ Boyer, Célia; Gaudinat, Arnaud; Hanbury, Allan; Appel, Ron D.; Ball, Marion J.; Carpentier, Michel; van Bemmel, Jan H.; Bergmans, Jean-Paul; Hochstrasser, Denis; Lindberg, Donald; Miller, Randolph; Peterschmitt, Jean-Claude; Safran, Charles; Thonnet, Michèle; Geissbühler, Antoine (2017). "Accessing Reliable Health Information on the Web: A Review of the HON Approach". MEDINFO 2017: Precision Healthcare Through Informatics. 245: 1004–1008. doi:10.3233/978-1-61499-830-3-1004. PMID 29295252.
  64. ^ Gonchar, Michael; Engle, Jeremy (October 26, 2020). "Should Media Literacy Be a Required Course in School?". The New York Times. Archived from the original on October 7, 2022. Retrieved February 18, 2023.
  65. ^ Pangrazio, Luci; Godhe, Anna-Lena; Ledesma, Alejo González López (November 2020). "What is digital literacy? A comparative review of publications across three language contexts". E-Learning and Digital Media. 17 (6): 442–459. doi:10.1177/2042753020946291. S2CID 223518782.
  66. ^ Bugeja, Michael. "Opinion: Our schools need digital literacy as machine learning, artificial intelligence expand". The Des Moines Register. Archived from the original on February 19, 2023. Retrieved February 18, 2023.
  67. ^ Lancet, The (November 12, 2022). "Why is health literacy failing so many?". The Lancet. 400 (10364): 1655. doi:10.1016/S0140-6736(22)02301-7. ISSN 0140-6736. PMID 36366878. S2CID 253457427.
  68. ^ "Google's Muse model could be the next big thing for generative AI". VentureBeat. January 13, 2023. Archived from the original on February 18, 2023. Retrieved February 18, 2023.
  69. ^ Chang, Huiwen; Zhang, Han; Barber, Jarred; Maschinot, A. J.; Lezama, Jose; Jiang, Lu; Yang, Ming-Hsuan; Murphy, Kevin; Freeman, William T.; Rubinstein, Michael; Li, Yuanzhen; Krishnan, Dilip (January 2, 2023). "Muse: Text-To-Image Generation via Masked Generative Transformers". arXiv:2301.00704 [cs.CV].
  70. ^ Insinna, Valerie (January 4, 2023). "Inside the special F-16 the Air Force is using to test out AI". Breaking Defense. Archived from the original on February 9, 2023. Retrieved February 18, 2023.
  71. ^ Gitlin, Jonathan M. (February 14, 2023). "The US Air Force successfully tested this AI-controlled jet fighter". Ars Technica. Archived from the original on February 16, 2023. Retrieved February 18, 2023.
  72. ^ "Fully autonomous F-16 fighter jet takes part in simulated dogfights". New Scientist. Archived from the original on February 18, 2023. Retrieved February 18, 2023.
  73. ^ Paleja, Ameya (January 10, 2023). "Microsoft unveils VALL-E, a text-to-speech AI that can be trained in just 3 seconds". interestingengineering.com. Archived from the original on February 18, 2023. Retrieved February 18, 2023.
  74. ^ Wang, Chengyi; Chen, Sanyuan; Wu, Yu; Zhang, Ziqiang; Zhou, Long; Liu, Shujie; Chen, Zhuo; Liu, Yanqing; Wang, Huaming; Li, Jinyu; He, Lei; Zhao, Sheng; Wei, Furu (January 5, 2023). "Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers". arXiv:2301.02111 [cs.CL].
  75. ^ Saha, Shritama (January 12, 2023). "DeepMind Unleashes DreamerV3, A Multi-Domain World Model". Analytics India Magazine. Archived from the original on February 18, 2023. Retrieved February 18, 2023.
  76. ^ Hafner, Danijar; Pasukonis, Jurgis; Ba, Jimmy; Lillicrap, Timothy (January 10, 2023). "Mastering Diverse Domains through World Models". arXiv:2301.04104 [cs.AI].
  77. ^ Lowe, Derek. "Making Up Proteins". Science. Archived from the original on February 18, 2023. Retrieved February 18, 2023.
  78. ^ Madani, Ali; Krause, Ben; Greene, Eric R.; Subramanian, Subu; Mohr, Benjamin P.; Holton, James M.; Olmos, Jose Luis; Xiong, Caiming; Sun, Zachary Z.; Socher, Richard; Fraser, James S.; Naik, Nikhil (January 26, 2023). "Large language models generate functional protein sequences across diverse families". Nature Biotechnology. 41 (8): 1099–1106. doi:10.1038/s41587-022-01618-2. ISSN 1546-1696. PMC 10400306. PMID 36702895. S2CID 256304602.
  79. ^ McFadden, Christopher (January 26, 2023). "A new AI-powered gene-editing technique could be set to replace CRISPR". interestingengineering.com. Archived from the original on February 18, 2023. Retrieved February 18, 2023.
  80. ^ Ichikawa, David M.; Abdin, Osama; Alerasool, Nader; Kogenaru, Manjunatha; Mueller, April L.; Wen, Han; Giganti, David O.; Goldberg, Gregory W.; Adams, Samantha; Spencer, Jeffrey M.; Razavi, Rozita; Nim, Satra; Zheng, Hong; Gionco, Courtney; Clark, Finnegan T.; Strokach, Alexey; Hughes, Timothy R.; Lionnet, Timothee; Taipale, Mikko; Kim, Philip M.; Noyes, Marcus B. (January 26, 2023). "A universal deep-learning model for zinc finger design enables transcription factor reprogramming". Nature Biotechnology. 41 (8): 1117–1129. doi:10.1038/s41587-022-01624-4. ISSN 1546-1696. PMC 10421740. PMID 36702896.
  81. ^ Saha, Shritama (February 8, 2023). "Give a Prompt, Make a Video". Analytics India Magazine. Archived from the original on February 18, 2023. Retrieved February 18, 2023.
  82. ^ Singer, Uriel; Sheynin, Shelly; Polyak, Adam; Ashual, Oron; Makarov, Iurii; Kokkinos, Filippos; Goyal, Naman; Vedaldi, Andrea; Parikh, Devi; Johnson, Justin; Taigman, Yaniv (January 26, 2023). "Text-To-4D Dynamic Scene Generation". arXiv:2301.11280 [cs.CV].
  83. ^ Young, Chris (January 31, 2023). "AI algorithm pinpoints 8 radio signals that may have come from aliens". interestingengineering.com. Archived from the original on February 18, 2023. Retrieved February 18, 2023.
  84. ^ Ma, Peter Xiangyuan; Ng, Cherry; Rizk, Leandro; Croft, Steve; Siemion, Andrew P. V.; Brzycki, Bryan; Czech, Daniel; Drew, Jamie; Gajjar, Vishal; Hoang, John; Isaacson, Howard; Lebofsky, Matt; MacMahon, David H. E.; de Pater, Imke; Price, Danny C.; Sheikh, Sofia Z.; Worden, S. Pete (January 30, 2023). "A deep-learning search for technosignatures from 820 nearby stars". Nature Astronomy. 7: 492. arXiv:2301.12670. Bibcode:2023NatAs...7..492M. doi:10.1038/s41550-022-01872-z. ISSN 2397-3366. S2CID 256389424.
  85. ^ Knight, Will. "Should Algorithms Control Nuclear Launch Codes? The US Says No". Wired. Retrieved March 27, 2023.
  86. ^ "US issues declaration on responsible use of AI in the military". Reuters. February 16, 2023. Retrieved March 27, 2023.
  87. ^ "Political Declaration on Responsible Military Use of Artificial Intelligence and Autonomy". U.S. Department of State – Bureau of Arms Control, Verification and Compliance. February 16, 2023. Retrieved March 27, 2023.
  88. ^ Sterling, Toby (February 16, 2023). "U.S., China, other nations urge 'responsible' use of military AI". Reuters. Retrieved April 1, 2023.
  89. ^ "'It's perfect': World's first generative AI-designed COVID drug to start clinical trials". The Star. February 23, 2023. Retrieved February 24, 2023.
  90. ^ Wiggers, Kyle (March 14, 2023). "OpenAI releases GPT-4, a multimodal AI that it claims is state-of-the-art". TechCrunch. Retrieved April 23, 2023.
  91. ^ "GPT-4". OpenAI. March 14, 2023. Retrieved March 14, 2023.
  92. ^ Ahmed, Nur; Wahed, Muntasir; Thompson, Neil C. (2023). "The growing influence of industry in AI research" (PDF). Science. 379 (6635): 884–886. Bibcode:2023Sci...379..884A. doi:10.1126/science.ade2420. PMID 36862769. S2CID 257283258.
  93. ^ "Google's PaLM-E is a generalist robot brain that takes commands". Ars Technica. March 7, 2023. Retrieved March 9, 2023.
  94. ^ "PaLM-E: An Embodied Multimodal Language Model". Github. March 7, 2023. Retrieved March 9, 2023. arXiv:2303.03378
  95. ^ Cornelio, Cristina; Dash, Sanjeeb; Austel, Vernon; Josephson, Tyler R.; Goncalves, Joao; Clarkson, Kenneth L.; Megiddo, Nimrod; El Khadir, Bachir; Horesh, Lior (April 12, 2023). "Combining data and theory for derivable scientific discovery with AI-Descartes". Nature Communications. 14 (1): 1777. Bibcode:2023NatCo..14.1777C. doi:10.1038/s41467-023-37236-y. ISSN 2041-1723. PMC 10097814. PMID 37045814.
  96. ^ Sorokina, Olsy. "'AI scientist' brings us a step closer to the age of machine-generated scientific discovery". CBC. Retrieved May 28, 2023.
  97. ^ Tang, Jerry; LeBel, Amanda; Jain, Shailee; Huth, Alexander G. (May 2023). "Semantic reconstruction of continuous language from non-invasive brain recordings". Nature Neuroscience. 26 (5): 858–866. bioRxiv 10.1101/2022.09.29.509744. doi:10.1038/s41593-023-01304-9. ISSN 1546-1726. PMC 11304553. PMID 37127759. S2CID 252684880.
  98. ^ Zhang, He; Zhang, Liang; Lin, Ang; Xu, Congcong; Li, Ziyu; Liu, Kaibo; Liu, Boxiang; Ma, Xiaopin; Zhao, Fanfan; Jiang, Huiling; Chen, Chunxiu; Shen, Haifa; Li, Hangwen; Mathews, David H.; Zhang, Yujian; Huang, Liang (May 2, 2023). "Algorithm for Optimized mRNA Design Improves Stability and Immunogenicity" (PDF). Nature. 621 (7978): 396–403. Bibcode:2023Natur.621..396Z. doi:10.1038/s41586-023-06127-z. ISSN 1476-4687. PMC 10499610. PMID 37130545. S2CID 247594015.
  99. ^ Schirner, Michael; Deco, Gustavo; Ritter, Petra (May 23, 2023). "Learning how network structure shapes decision-making for bio-inspired computing". Nature Communications. 14 (1): 2963. Bibcode:2023NatCo..14.2963S. doi:10.1038/s41467-023-38626-y. ISSN 2041-1723. PMC 10206104. PMID 37221168.

  100. ^ "Schlau heißt nicht schnell: Intelligente Gehirne "ticken" oft langsamer | MDR.DE". MDR (in German). Retrieved June 24, 2023.
  101. ^ Liu, Gary; Catacutan, Denise B.; Rathod, Khushi; Swanson, Kyle; Jin, Wengong; Mohammed, Jody C.; Chiappino-Pepe, Anush; Syed, Saad A.; Fragis, Meghan; Rachwalski, Kenneth; Magolan, Jakob; Surette, Michael G.; Coombes, Brian K.; Jaakkola, Tommi; Barzilay, Regina; Collins, James J.; Stokes, Jonathan M. (May 25, 2023). "Deep learning-guided discovery of an antibiotic targeting Acinetobacter baumannii". Nature Chemical Biology. 19 (11): 1342–1350. doi:10.1038/s41589-023-01349-8. ISSN 1552-4469. PMID 37231267. S2CID 258909341.

  102. ^ "AI algorithms find drugs that could combat ageing". University of Edinburgh. June 14, 2023. Retrieved June 16, 2023.
  103. ^ Smer-Barreto, Vanessa; Quintanilla, Andrea; Elliott, Richard J. R.; Dawson, John C.; Sun, Jiugeng; Campa, Víctor M.; Lorente-Macías, Álvaro; Unciti-Broceta, Asier; Carragher, Neil O.; Acosta, Juan Carlos; Oyarzún, Diego A. (June 10, 2023). "Discovery of senolytics using machine learning". Nature Communications. 14 (1): 3445. Bibcode:2023NatCo..14.3445S. doi:10.1038/s41467-023-39120-1. ISSN 2041-1723. PMC 10257182. PMID 37301862.
  104. ^ "How this moment for AI will change society forever (and how it won't)". New Scientist. Retrieved July 27, 2023.
  105. ^ "Stop talking about tomorrow's AI doomsday when AI poses risks today". Nature. 618 (7967): 885–886. June 27, 2023. Bibcode:2023Natur.618..885.. doi:10.1038/d41586-023-02094-7. PMID 37369844. S2CID 259254557.
  106. ^ Arnold, Carrie (June 1, 2023). "Inside the nascent industry of AI-designed drugs". Nature Medicine. 29 (6): 1292–1295. doi:10.1038/s41591-023-02361-0. PMID 37264208. S2CID 259025019.
  107. ^ Hu, Shengran; Clune, Jeff (2023). "Thought Cloning: Learning to Think while Acting by Imitating Human Thinking". arXiv:2306.00323 [cs.AI].
  108. ^ Sourati, Jamshid; Evans, James A. (July 13, 2023). "Accelerating science with human-aware artificial intelligence". Nature Human Behaviour. 7 (10): 1682–1696. arXiv:2306.01495. doi:10.1038/s41562-023-01648-z. ISSN 2397-3374. PMID 37443269. S2CID 259064119.
  109. ^ Liesenfeld, Andreas; Lopez, Alianda; Dingemanse, Mark (July 19, 2023). "Opening up ChatGPT: Tracking openness, transparency, and accountability in instruction-tuned text generators". Proceedings of the 5th International Conference on Conversational User Interfaces. ACM. pp. 1–6. arXiv:2307.05532. doi:10.1145/3571884.3604316. ISBN 9798400700149. S2CID 259837343.

  110. ^ Lång, Kristina; Josefsson, Viktoria; Larsson, Anna-Maria; Larsson, Stefan; Högberg, Charlotte; Sartor, Hanna; Hofvind, Solveig; Andersson, Ingvar; Rosso, Aldana (August 2023). "Artificial intelligence-supported screen reading versus standard double reading in the Mammography Screening with Artificial Intelligence trial (MASAI): a clinical safety analysis of a randomised, controlled, non-inferiority, single-blinded, screening accuracy study". The Lancet Oncology. 24 (8): 936–944. doi:10.1016/S1470-2045(23)00298-X. hdl:10037/32977. PMID 37541274. S2CID 260414569.
  111. ^ Wang, Hanchen; Fu, Tianfan; Du, Yuanqi; Gao, Wenhao; Huang, Kexin; Liu, Ziming; Chandak, Payal; Liu, Shengchao; Van Katwyk, Peter; Deac, Andreea; Anandkumar, Anima; Bergen, Karianne; Gomes, Carla P.; Ho, Shirley; Kohli, Pushmeet; Lasenby, Joan; Leskovec, Jure; Liu, Tie-Yan; Manrai, Arjun; Marks, Debora; Ramsundar, Bharath; Song, Le; Sun, Jimeng; Tang, Jian; Veličković, Petar; Welling, Max; Zhang, Linfeng; Coley, Connor W.; Bengio, Yoshua; Zitnik, Marinka (August 2023). "Scientific discovery in the age of artificial intelligence" (PDF). Nature. 620 (7972): 47–60. Bibcode:2023Natur.620...47W. doi:10.1038/s41586-023-06221-2. ISSN 1476-4687. PMID 37532811. S2CID 260384616.
  112. ^ Saad, Omar M.; Chen, Yunfeng; Savvaidis, Alexandros; Fomel, Sergey; Jiang, Xiuxuan; Huang, Dino; Oboué, Yapo Abolé Serge Innocent; Yong, Shanshan; Wang, Xin’an; Zhang, Xing; Chen, Yangkang (September 5, 2023). "Earthquake Forecasting Using Big Data and Artificial Intelligence: A 30-Week Real-Time Case Study in China". Bulletin of the Seismological Society of America. 113 (6): 2461–2478. Bibcode:2023BuSSA.113.2461S. doi:10.1785/0120230031. S2CID 261570732.

  113. ^ Walsh, Brendan; Hamilton, Mark; Newby, Greg; Wang, Xi; Ruan, Serena; Zhao, Sheng; He, Lei; Zhang, Shaofei; Dettinger, Eric; Freeman, William T.; Weimer, Markus (2023). "Large-Scale Automatic Audiobook Creation". arXiv:2309.03926 [cs.SD].
  114. ^ Fadelli, Ingrid. "An interactive platform that explains machine learning models to its users". techxplore.com. Retrieved November 12, 2023.
  115. ^ Slack, Dylan; Krishna, Satyapriya; Lakkaraju, Himabindu; Singh, Sameer (August 2023). "Explaining machine learning models with interactive natural language conversations using TalkToModel". Nature Machine Intelligence. 5 (8): 873–883. doi:10.1038/s42256-023-00692-8. ISSN 2522-5839.
  116. ^ Nasr, Milad; Carlini, Nicholas; Hayase, Jonathan; Jagielski, Matthew; Feder Cooper, A.; Ippolito, Daphne; Choquette-Choo, Christopher A.; Wallace, Eric; Tramèr, Florian; Lee, Katherine (2023). "Scalable Extraction of Training Data from (Production) Language Models". arXiv:2311.17035 [cs.LG].
  117. ^ "Introducing Gemini: our largest and most capable AI model". Google. December 6, 2023.
  118. ^ "Gemini - Google DeepMind". deepmind.google. May 14, 2024.
  119. ^ "Google claims new Gemini AI 'thinks more carefully'". December 6, 2023 – via www.bbc.co.uk.
  120. ^ Team, Gemini; et al. (2023). "Gemini: A Family of Highly Capable Multimodal Models". arXiv:2312.11805 [cs.CL].
  121. ^ "Using AI, MIT researchers identify a new class of antibiotic candidates". MIT. December 20, 2023. Retrieved December 30, 2023.
  122. ^ Wong, Felix; Zheng, Erica J.; Valeri, Jacqueline A.; Donghia, Nina M.; Anahtar, Melis N.; Omori, Satotaka; Li, Alicia; Cubillos-Ruiz, Andres; Krishnan, Aarti; Jin, Wengong; Manson, Abigail L.; Friedrichs, Jens; Helbig, Ralf; Hajian, Behnoush; Fiejtek, Dawid K.; Wagner, Florence F.; Soutter, Holly H.; Earl, Ashlee M.; Stokes, Jonathan M.; Renner, Lars D.; Collins, James J. (February 2024). "Discovery of a structural class of antibiotics with explainable deep learning" (PDF). Nature. 626 (7997): 177–185. Bibcode:2024Natur.626..177W. doi:10.1038/s41586-023-06887-8. ISSN 1476-4687. PMC 10866013. PMID 38123686.
  123. ^ Dama, Adam C.; Kim, Kevin S.; Leyva, Danielle M.; Lunkes, Annamarie P.; Schmid, Noah S.; Jijakli, Kenan; Jensen, Paul A. (June 2023). "BacterAI maps microbial metabolism without prior knowledge". Nature Microbiology. 8 (6): 1018–1025. doi:10.1038/s41564-023-01376-0. ISSN 2058-5276. PMID 37142775. S2CID 258508291.

  124. ^ Xuan, Yinan; Barry, Colin; De Souza, Jessica; Wen, Jessica H.; Antipa, Nick; Moore, Alison A.; Wang, Edward J. (May 29, 2023). "Ultra-low-cost mechanical smartphone attachment for no-calibration blood pressure measurement". Scientific Reports. 13 (1): 8105. Bibcode:2023NatSR..13.8105X. doi:10.1038/s41598-023-34431-1. ISSN 2045-2322. PMC 10227087. PMID 37248245.
  125. ^ "ctheodoris/Geneformer · Hugging Face". huggingface.co. June 25, 2023. Retrieved June 26, 2023.
  126. ^ Theodoris, Christina V.; Xiao, Ling; Chopra, Anant; Chaffin, Mark D.; Al Sayed, Zeina R.; Hill, Matthew C.; Mantineo, Helene; Brydon, Elizabeth M.; Zeng, Zexian; Liu, X. Shirley; Ellinor, Patrick T. (June 2023). "Transfer learning enables predictions in network biology". Nature. 618 (7965): 616–624. Bibcode:2023Natur.618..616T. doi:10.1038/s41586-023-06139-9. ISSN 1476-4687. PMC 10949956. PMID 37258680. S2CID 259002047.

  127. ^ Watson, Joseph L.; Juergens, David; Bennett, Nathaniel R.; Trippe, Brian L.; Yim, Jason; Eisenach, Helen E.; Ahern, Woody; Borst, Andrew J.; Ragotte, Robert J.; Milles, Lukas F.; Wicky, Basile I. M.; Hanikel, Nikita; Pellock, Samuel J.; Courbet, Alexis; Sheffler, William; Wang, Jue; Venkatesh, Preetham; Sappington, Isaac; Torres, Susana Vázquez; Lauko, Anna; De Bortoli, Valentin; Mathieu, Emile; Ovchinnikov, Sergey; Barzilay, Regina; Jaakkola, Tommi S.; DiMaio, Frank; Baek, Minkyung; Baker, David (August 2023). "De novo design of protein structure and function with RFdiffusion". Nature. 620 (7976): 1089–1100. Bibcode:2023Natur.620.1089W. doi:10.1038/s41586-023-06415-8. ISSN 1476-4687. PMC 10468394. PMID 37433327.
  128. ^ Tu, Tao; et al. (2023). "Towards Generalist Biomedical AI". arXiv:2307.14334 [cs.CL].
  129. ^ Gasparini, Allison (March 14, 2023). "A trick inspired by Hansel and Gretel could help rovers explore other worlds". Science News. Retrieved April 20, 2023.
  130. ^ Fink, Wolfgang; Fuhrman, Connor; Nuncio Zuniga, Andres; Tarbell, Mark (February 11, 2023). "A Hansel & Gretel Breadcrumb-Style Dynamically Deployed Communication Network Paradigm using Mesh Topology for Planetary Subsurface Exploration". Advances in Space Research. 72 (2): 518–528. Bibcode:2023AdSpR..72..518F. doi:10.1016/j.asr.2023.02.012. ISSN 0273-1177. PMC 10399462. PMID 37547478. S2CID 256818650.
  131. ^ Anthes, Emily (April 21, 2023). "Polly Wants a Video Chat". The New York Times. Retrieved May 27, 2023.
  132. ^ Kleinberger, Rebecca; Cunha, Jennifer; Vemuri, Megha M; Hirskyj-Douglas, Ilyena (April 19, 2023). "Birds of a Feather Video-Flock Together: Design and Evaluation of an Agency-Based Parrot-to-Parrot Video-Calling System for Interspecies Ethical Enrichment". Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery. pp. 1–16. doi:10.1145/3544548.3581166. ISBN 9781450394215. S2CID 258216835.
  133. ^ "Robot 'chef' learns to recreate recipes from watching food videos". University of Cambridge. June 5, 2023. Retrieved June 8, 2023.
  134. ^ Sochacki, Grzegorz; Abdulali, Arsen; Hosseini, Narges Khadem; Iida, Fumiya (2023). "Recognition of Human Chef's Intentions for Incremental Learning of Cookbook by Robotic Salad Chef". IEEE Access. 11: 57006–57020. Bibcode:2023IEEEA..1157006S. doi:10.1109/ACCESS.2023.3276234. ISSN 2169-3536.
  135. ^ Kaufmann, Elia; Bauersfeld, Leonard; Loquercio, Antonio; Müller, Matthias; Koltun, Vladlen; Scaramuzza, Davide (August 2023). "Champion-level drone racing using deep reinforcement learning". Nature. 620 (7976): 982–987. Bibcode:2023Natur.620..982K. doi:10.1038/s41586-023-06419-4. ISSN 1476-4687. PMC 10468397. PMID 37648758.
  136. ^ Szymanski, Nathan J.; Rendy, Bernardus; Fei, Yuxing; Kumar, Rishi E.; He, Tanjin; Milsted, David; McDermott, Matthew J.; Gallant, Max; Cubuk, Ekin Dogus; Merchant, Amil; Kim, Haegyeom; Jain, Anubhav; Bartel, Christopher J.; Persson, Kristin; Zeng, Yan; Ceder, Gerbrand (December 2023). "An autonomous laboratory for the accelerated synthesis of novel materials". Nature. 624 (7990): 86–91. Bibcode:2023Natur.624...86S. doi:10.1038/s41586-023-06734-w. ISSN 1476-4687. PMC 10700133. PMID 38030721.
  137. ^ Verma, Kavita (March 17, 2023). "MIT researchers create a novel low-cost and portable air pollution sensor". interestingengineering.com. Retrieved April 23, 2023.
  138. ^ Wang, An; Machida, Yuki; deSouza, Priyanka; Mora, Simone; Duhl, Tiffany; Hudda, Neelakshi; Durant, John L.; Duarte, Fábio; Ratti, Carlo (May 15, 2023). "Leveraging machine learning algorithms to advance low-cost air sensor calibration in stationary and mobile settings". Atmospheric Environment. 301: 119692. Bibcode:2023AtmEn.30119692W. doi:10.1016/j.atmosenv.2023.119692. hdl:11250/3115453. ISSN