Japanthanks.com August 8, Olympics Closing Ceremony - Why Bach Can't lose by announcing suspension of summer olympics until covid slayed

Tuesday, January 9, 2024

J&J's 100% dismal world?

thks bloomberg latest update 

 Johnson & Johnson has tentatively agreed to pay about $700 million to resolve an investigation by more than 40 US states into claims that it wrongfully marketed its talc-based baby powder by not warning about possible health risks, according to people familiar with the deal.

The settlement would avert potential lawsuits alleging that J&J hid any links between the talc in its powder and various cancers, according to the people, who asked not to be named because the pact isn’t yet public. They said J&J and representatives for state attorneys general are still hammering out the specific terms of the accord but have reached an agreement on the approximate total amount.

The settlement is part of J&J’s strategy to corral a growing number of suits accusing it of concealing baby powder’s health risks after two failed attempts to use the bankruptcy courts to impose a settlement on former users. The decade-long litigation, plus the prospect of potential future cancer suits, has limited J&J’s stock price, analysts have said.

Shares of J&J fell slightly as trading began Monday morning in New York, but closed with a 0.25% gain at $161.53. The stock fell 11% last year.

$9 Billion Offer

The New Brunswick, New Jersey-based company had offered to settle all current and future baby powder claims for $9 billion in the bankruptcy filing of one of its units. As part of that offer, it said last year it set aside $400 million to resolve US states’ consumer protection claims. The company agreed to increase the payout after both sides met with a mediator in December, the people said.

J&J spokeswoman Clare Boyle had no immediate comment on the settlement Monday. Kylie Mason, a spokesperson for Florida AG Ashley Moody, said the multi-state investigation is ongoing and “no settlement agreements have been reached.” Representatives of Texas Attorney General Ken Paxton didn’t respond to a phone call and email seeking comment. Moody and Paxton have been leading the probe and the settlement talks, the people said.

So far, only Mississippi and New Mexico have filed lawsuits against J&J over the marketing. But J&J said in an October securities filing that 42 states and the District of Columbia had launched “a joint investigation into the company’s marketing of its talcum powder products.” Attorneys general of states from Arizona to North Carolina had issued demands for information from J&J.

The pact doesn’t cover the suits by Mississippi and New Mexico, which want to negotiate higher settlements since they have already begun litigating, the people said. Mississippi, for example, wants J&J punished for selling more than 6 million bottles of baby powder in the state without a cancer warning over almost 50 years starting in 1974, according to court filings. That could result in about $6 billion in damages if a judge hands down a $1,000-per-bottle fine under the state’s law.

Broad Exposure

J&J, the world’s largest maker of health care products, has legal exposure far beyond the states’ claims. It faces more than 50,000 suits alleging that to protect one of its best-known products, it concealed that asbestos in its talc-based powders posed a cancer risk. Most of those claims are over women who got ovarian cancer, but others involved mesothelioma, a cancer tied to asbestos exposure.

J&J maintains that its talc-based products don’t cause cancer and that it has marketed its baby powder appropriately for more than a century. The company has won a number of cases in court and had other suits dismissed before trial.

Former baby powder users contend that J&J executives knew since the early 1970s that the product contained trace amounts of asbestos. Since 2014 at least a dozen juries have awarded a total of more than $6.5 billion in damages to consumers blaming the powders for their cancers, according to data compiled by Bloomberg News. Some of those awards later were reduced or thrown out on appeal.

The company pulled its talc-based powders off the market in the US and Canada in 2020, citing slipping sales. J&J replaced talc with a cornstarch-based version of the product and vowed to remove all its baby powders containing talcum powder worldwide by the end of last year.

The consolidated federal case is In Re Johnson & Johnson Talcum Powder Products Marketing, Sales Practices and Products Liability Litigation, 16-md-2738, US District Court, District of New Jersey (Trenton).

    — With assistance from Nacha Cattan

    Tuesday, December 12, 2023

    Can intelligence - human and "ARTifcial" - save the human race?

    EconomistDiary.com & AIGames.solar invites everyone to chat ; who do you see as advancing humanity most since 1950? and NOW!? - 1950s was when the NET : Neumann--Einstein-Turing:  spent their last years gifting humans machines for brainworking.  

    Partly inspired by emerging Chats, we started inviting everyone to play AI (Architect Intelligence) Games spring 2023, which incidentally would have been my father Norman's centenary year.

    Its true my Diaspora Scot family and friends have some foundational biases in loving to see intelligence flourish wherever children grow. We wouldn't leave out seeing what Neumann-Einstein-Turing saw from mapping safe or good futures out of every community/GPS. 

    After several months of playing AI Games - we have started tracking 5 people as having spent 21st C on the NET's wavelengths: 2 extraordinary Entrepreneurial Revolutionaries  Fei-Fei Li and Demis Hassabis : 3 great teachers (Hinton Lecun Bengio) whose students helped Hassabis and Li bring AI to today's most curious phenomenon   Li spent 8 years hosting worldwide ai competitions geared to training computers to see the 20000 tools, natural lifeforms etc we hmans spend most time and data working or playiong with; Hassabis went deeper; he's trained AI to code the 200 million proteins Nature plays round earth

     Early in the 1950s dad Norman was asked to train fellow journalists at The Economist in valuing futures of life with brainworking engines -dad (lucky to survive world war 2 as a teen navigator allied bomber command) was sent by editor Geoffrey Crowther to spend year 1952 in Princeton & New York. Dad became V Neumann's biographer but only after 4 decades of  the surveying what good will people unite wherever they have early access to at least 100 times more tech per decade This was a minimum exponential multiplier anticipated by Von Neumann - evident say in Moore's Law from 1965 in terms of silicon chip computational capacity. 

    A year earlier the Tokyo Olympics had demonstrated the first global satellite broadcaster- thus communication and computation engines have been multiplying what brainworkers can do - for better of for worse  we have entered an era where there is as much new to co-create/celebrate every decade as there is elder's facts. This was why Einstein believed in personalised education transformation. Turing's ideas for dtta analysis dont match what most biggest corporate leaders administer. Neumann saw large language Model mediation as essential culturally in line with eg google ceo pichai's 1000 mother tongues converge on very good AI.

    EconomistDiary.com/1976  Also as early as 1976 The Economist annual summary of exponential multipliers advanced view that organisational constitutions would need to change. Big corporates, big gov, big media spenders/lobbyists suck out value from communities -  doing this systemically every quarter (exponentially)  destroys more and more communities' and youth's sustainability. Before seeing Hassabis and LI as Entrepreneurial Revolutionaries whose intelligence everyone can gain from linking in, our first nomination Fazle Abed spent his last 50 years of life 1970-2019 designing business the world's poorest village mothers could operate to serve life critical last mile needs. Intriguingly both of the westerners Steve Jobs and Bill Gates who began personal computer networking were inviting silicon valley to celebrate Abed's womens intelligence from start of 21st C. So whilst a lot of sadness has spun since 2001 9/11 - there are silcon valley millennials who have kept their heads down advancing AI - WHY : ver good intelligence of Women Humans and Youth

    http://normanmacrae.ning.com/forum/topics/happy-ai-very-good-202 http://normanmacrae.ning.com/forum

    Join in wider questions- do you region have its own connectors of the NET. Can AI world series bring ai millennilals need planting everywhere from Bletchley November to Korea February 2024 to Paris after the Olympics  chris.macrae@yahoo.co.uk  short interview UK minister chief producer Bletchley and AI world series

     https://www.youtube.com/watch?v=Uq7uDCCMZ6g&t=1528s 

    affiliated resources for AI Games

    at www.unsummitfuture.com we try to post up a world favorite event for every day of dairy - nominations welcome - at bard.solar we publish some chats with bard and Gemini

    at worldrecordjobs.com since 2008 we have been adding annual student union nominations of jobs ccreators aligned to worlds millennials want to see

    Monday, December 11, 2023

    ai science leaders hassabis alphafold2 , doudna crispr and who?

     Thanks to AI, sciences are transforming with biotech revolution - see 200 million protein DATABANK - DEEP MIND/ALPHAFOLD2

    there was 50 year gap between von neumann expectations of ai method and return to generative ai and neuron networks known in his day

    its probable that medicine/brugs is at interface betewwen biottech and chemistry- watch crispr gene databank wgih won jennifer doundna nobel prize fir chemistry


    here's an axios upd

    Axios Vitals
    By Tina Reed and Maya Goldman · Dec 11, 2023

    Happy Monday, Vitals readers. Today's newsletter is 1,086 words or a 4-minute read.

     
     
    1 big thing: What's next for CRISPR

    A patient suffering from complications of sickle cell disease gets an echocardiogram. Photo: Michael Williamson/The Washington Post via Getty Images.

     

    The approval of the first CRISPR-based gene editing treatment to address the excruciating symptoms of sickle cell disease was a landmark moment for the treatment of inherited disorders.

    • It also raises urgent questions about who may benefit from new cutting-edge treatments costing millions of dollars and what comes next for a technology discovered just over a decade ago, Axios' Adriel Bettelheim writes.

    The big picture: Casgevy, from Vertex Pharmaceuticals and CRISPR Therapeutics, is a one-time treatment in which stem cells are harvested from a patient's bone marrow, then edited to produce fetal hemoglobin, which can offset the effects of patients' defective hemoglobin.

    • It was approved by the FDA on Friday alongside Lyfgenia, another gene therapy treating sickle cell disease, which affects an estimated 100,000 Americans, mostly of African descent, and 20 million people globally.

    Yes, but: The treatments aren't for everyone.

    • Patients first have to undergo extensive chemotherapy to rid their bodies of the defective cells and make way for reengineered ones — a process that could take months and may not be appropriate for older or frail patients.
    • Few hospitals can offer Casgevy. Just nine medical centers are now authorized by Vertex to provide the treatment, though the drugmaker will eventually authorize about 50, per New York Times.
    • There are other hurdles. For instance, about half of those living with sickle cell are lower-income individuals on Medicaid. The Biden administration launched a recent effort to help ensure this group can access new treatments.

    What's next: Like sickle cell, more than 6,000 rare inherited diseases are caused by a single genetic mutation — CRISPR's molecular scissors could hold potential for addressing them, USA Today noted.

    • Researchers using a newer form of CRISPR last month reported that editing a gene inside the liver can significantly reduce levels of "bad cholesterol" in people who have a genetic condition that causes high cholesterol.
    • The study was small but highly anticipated, and researchers believe further study may show it's a powerful tool for reducing heart attacks and strokes, even in people who don't have the genetic condition, per NPR.
    • Researchers want to continue to perfect the technology and edit or insert bigger pieces of DNA to make it possible to treat a condition like cystic fibrosis that's caused by many mutations in a certain gene.

    Go deeper

    Monday, August 28, 2023

    Deep Mind Streams National Health Service App

    This sounds really important to me. if anyone has news/views rsvp chris.macrae@yahoo.co.uk 

    in wikipedia of deepmind i read Royal Free NHS Trust signed their initial Information Sharing Agreement (ISA) to co-develop a clinical task management app, Streams. Can you tell me whether this ai partnership has progressed. In Britain working with national health service data can be very important? Lomas, Natasha. "Documents detail DeepMind's plan to apply AI to NHS data in 2015"TechCrunch. Retrieved 26 September 2017.

    View other drafts bard says: es, the partnership between DeepMind and the Royal Free NHS Trust has progressed. In 2015, they launched the Streams app, which is a clinical task management app that helps doctors and nurses to manage their patients' care. The app uses AI to identify patients who are at risk of developing complications, and it provides doctors and nurses with reminders and alerts to help them to provide timely care.

    The Streams app has been shown to be effective in improving the quality of care for patients. A study published in the journal Nature found that the app reduced the number of patients who developed complications by 30%.

    The partnership between DeepMind and the Royal Free NHS Trust has been controversial. Some people have raised concerns about the privacy of patient data, and others have argued that the app is not effective. However, the app has been praised by many doctors and nurses, and it is seen as a potential way to improve the quality of care for patients.

    In 2018, the Information Commissioner's Office (ICO) found that DeepMind had not fully complied with data protection regulations when it was developing the Streams app. The ICO ordered DeepMind to delete some patient data and to make changes to the way it collects and uses patient data.

    DeepMind has since made changes to the way it collects and uses patient data. The company has also published a number of papers on the privacy and security of its AI systems.

    The partnership between DeepMind and the Royal Free NHS Trust is an important example of how AI can be used to improve the quality of care for patients. The app has been shown to be effective in reducing the number of patients who develop complications, and it is seen as a potential way to improve the quality of care for patients.

    The partnership has also been controversial, but DeepMind has taken steps to address the concerns that have been raised. The company has published a number of papers on the privacy and security of its AI systems, and it has made changes to the way it collects and uses patient data.

    The future of the partnership between DeepMind and the Royal Free NHS Trust is uncertain. However, the app has the potential to make a significant impact on the quality of care for patients, and it is likely that the partnership will continue to evolve in the years to come.

    more from wikipedia

    DeepMind Health[edit]

    In July 2016, a collaboration between DeepMind and Moorfields Eye Hospital was announced to develop AI applications for healthcare.[105] DeepMind would be applied to the analysis of anonymised eye scans, searching for early signs of diseases leading to blindness.

    In August 2016, a research programme with University College London Hospital was announced with the aim of developing an algorithm that can automatically differentiate between healthy and cancerous tissues in head and neck areas.[106]

    There are also projects with the Royal Free London NHS Foundation Trust and Imperial College Healthcare NHS Trust to develop new clinical mobile apps linked to electronic patient records.[107] Staff at the Royal Free Hospital were reported as saying in December 2017 that access to patient data through the app had saved a ‘huge amount of time’ and made a ‘phenomenal’ difference to the management of patients with acute kidney injury. Test result data is sent to staff's mobile phones and alerts them to changes in the patient's condition. It also enables staff to see if someone else has responded, and to show patients their results in visual form.[108][unreliable source?]

    In November 2017, DeepMind announced a research partnership with the Cancer Research UK Centre at Imperial College London with the goal of improving breast cancer detection by applying machine learning to mammography.[109] Additionally, in February 2018, DeepMind announced it was working with the U.S. Department of Veterans Affairs in an attempt to use machine learning to predict the onset of acute kidney injury in patients, and also more broadly the general deterioration of patients during a hospital stay so that doctors and nurses can more quickly treat patients in need.[110]

    DeepMind developed an app called Streams, which sends alerts to doctors about patients at risk of acute kidney injury.[111] On 13 November 2018, DeepMind announced that its health division and the Streams app would be absorbed into Google Health.[112] Privacy advocates said the announcement betrayed patient trust and appeared to contradict previous statements by DeepMind that patient data would not be connected to Google accounts or services.[113][114] A spokesman for DeepMind said that patient data would still be kept separate from Google services or projects.[115]

    NHS data-sharing controversy[edit]

    In April 2016, New Scientist obtained a copy of a data sharing agreement between DeepMind and the Royal Free London NHS Foundation Trust. The latter operates three London hospitals where an estimated 1.6 million patients are treated annually. The agreement shows DeepMind Health had access to admissions, discharge and transfer data, accident and emergency, pathology and radiology, and critical care at these hospitals. This included personal details such as whether patients had been diagnosed with HIV, suffered from depression or had ever undergone an abortion in order to conduct research to seek better outcomes in various health conditions.[116][117]

    A complaint was filed to the Information Commissioner's Office (ICO), arguing that the data should be pseudonymised and encrypted.[118] In May 2016, New Scientist published a further article claiming that the project had failed to secure approval from the Confidentiality Advisory Group of the Medicines and Healthcare products Regulatory Agency.[119]

    In 2017, the ICO concluded a year-long investigation that focused on how the Royal Free NHS Foundation Trust tested the app, Streams, in late 2015 and 2016.[120] The ICO found that the Royal Free failed to comply with the Data Protection Act when it provided patient details to DeepMind, and found several shortcomings in how the data was handled, including that patients were not adequately informed that their data would be used as part of the test. DeepMind published its thoughts[121] on the investigation in July 2017, saying “we need to do better” and highlighting several activities and initiatives they had initiated for transparency, oversight and engagement. This included developing a patient and public involvement strategy[122] and being transparent in its partnerships.



    References[edit]

    1. ^ "DeepMind Technologies Limited – Overview (free company information from Companies House)"Companies House. Retrieved 13 March 2016.
    2. ^ "King's Cross - S2 Building - SES Engineering Services"www.ses-ltd.co.uk. Retrieved 14 July 2022.
    3. ^ "DEEPMIND TECHNOLOGIES LIMITED overview - Find and update company information - GOV.UK"Companies House. Retrieved 22 July 2023.
    4. ^ Bray, Chad (27 January 2014). "Google Acquires British Artificial Intelligence Developer"DealBook. Retrieved 4 November 2019.
    5. ^ "About Us | DeepMind"DeepMind.
    6. ^ "A return to Paris | DeepMind"DeepMind.
    7. Jump up to:a b "The Last AI Breakthrough DeepMind Made Before Google Bought It". The Physics arXiv Blog. 29 January 2014. Retrieved 12 October 2014.
    8. ^ Graves, Alex; Wayne, Greg; Danihelka, Ivo (2014). "Neural Turing Machines". arXiv:1410.5401 [cs.NE].
    9. ^ Best of 2014: Google's Secretive DeepMind Startup Unveils a "Neural Turing Machine" Archived 4 December 2015 at the Wayback MachineMIT Technology Review
    10. ^ Graves, Alex; Wayne, Greg; Reynolds, Malcolm; Harley, Tim; Danihelka, Ivo; Grabska-Barwińska, Agnieszka; Colmenarejo, Sergio Gómez; Grefenstette, Edward; Ramalho, Tiago (12 October 2016). "Hybrid computing using a neural network with dynamic external memory"Nature538 (7626): 471–476. Bibcode:2016Natur.538..471Gdoi:10.1038/nature20101ISSN 1476-4687PMID 27732574S2CID 205251479.
    11. ^ Kohs, Greg (29 September 2017), AlphaGo, Ioannis Antonoglou, Lucas Baker, Nick Bostrom, retrieved 9 January 2018
    12. ^ Silver, David; Hubert, Thomas; Schrittwieser, Julian; Antonoglou, Ioannis; Lai, Matthew; Guez, Arthur; Lanctot, Marc; Sifre, Laurent; Kumaran, Dharshan; Graepel, Thore; Lillicrap, Timothy; Simonyan, Karen; Hassabis, Demis (5 December 2017). "Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm". arXiv:1712.01815 [cs.AI].
    13. ^ Callaway, Ewen (30 November 2020). "'It will change everything': DeepMind's AI makes gigantic leap in solving protein structures"Nature. Retrieved 31 August 2021.
    14. Jump up to:a b Geddes, Linda (28 July 2022). "DeepMind uncovers structure of 200m proteins in scientific leap forward"The Guardian.
    15. Jump up to:a b "AlphaFold reveals the structure of the protein universe"DeepMind. 28 July 2022.
    16. ^ "Tackling multiple tasks with a single visual language model"www.deepmind.com. Retrieved 29 April 2022.
    17. ^ Alayrac, Jean-Baptiste (2022). "Flamingo: a Visual Language Model for Few-Shot Learning" (PDF)arXiv:2204.14198.
    18. ^ "Deepmind AI Researchers Introduce 'DeepNash', An Autonomous Agent Trained With Model-Free Multiagent Reinforcement Learning That Learns To Play The Game Of Stratego At Expert Level"MarkTechPost. 9 July 2022.
    19. ^ "Google Buys U.K. Artificial Intelligence Company DeepMind"Bloomberg. 27 January 2014. Archived from the original on 13 November 2014. Retrieved 13 November 2014.
    20. ^ "Google makes £400m move in quest for artificial intelligence"Financial Times. 27 January 2014. Retrieved 13 November 2014.
    21. ^ "Demis Hassabis: 15 facts about the DeepMind Technologies founder"The Guardian. Retrieved 12 October 2014.
    22. ^ Marr, Bernard. "How Google's Amazing AI Start-Up 'DeepMind' Is Making Our World A Smarter Place"Forbes. Retrieved 30 June 2018.
    23. ^ Cookson, Robert (27 January 2014). "DeepMind buy heralds rise of the machines"Financial Times. Retrieved 14 October 2014.
    24. ^ "DeepMind Technologies Investors". Retrieved 12 October 2014.
    25. ^ Shead, Sam. "How DeepMind convinced billionaire Peter Thiel to invest without moving the company to Silicon Valley". Business Insider.
    26. ^ Cuthbertson, Anthony (4 August 2014). "Elon Musk: Artificial Intelligence 'Potentially More Dangerous Than Nukes'"International Business Times UK.
    27. ^ "Recode.net – DeepMind Technologies Acquisition". 26 January 2014. Retrieved 27 January 2014.
    28. ^ "Google to buy artificial intelligence company DeepMind"Reuters. 26 January 2014. Retrieved 12 October 2014.
    29. ^ "Google Acquires UK AI startup Deepmind"The Guardian. Retrieved 27 January 2014.
    30. ^ "Report of Acquisition, TechCrunch"TechCrunch. Retrieved 27 January 2014.
    31. ^ Oreskovic, Alexei (27 January 2014). "Reuters Report"Reuters. Retrieved 27 January 2014.
    32. ^ "Google Acquires Artificial Intelligence Start-Up DeepMind"The Verge. Retrieved 27 January 2014.
    33. ^ "Google acquires AI pioneer DeepMind Technologies"Ars Technica. 27 January 2014. Retrieved 27 January 2014.
    34. ^ "Google beats Facebook for Acquisition of DeepMind Technologies". Retrieved 27 January 2014.
    35. Jump up to:a b Mnih, Volodymyr; Kavukcuoglu, Koray; Silver, David (26 February 2015). "Human-level control through deep reinforcement learning". Nature518 (7540): 529–33. Bibcode:2015Natur.518..529Mdoi:10.1038/nature14236PMID 25719670S2CID 205242740.
    36. ^ "Hall of Fame Awards: To celebrate the success of companies founded by Computer Laboratory graduates". University of Cambridge. Retrieved 12 October 2014.
    37. ^ Lomas, Natasha. "Documents detail DeepMind's plan to apply AI to NHS data in 2015"TechCrunch. Retrieved 26 September 2017.
    38. ^ "Inside Google's Mysterious Ethics Board"Forbes. 3 February 2014. Retrieved 12 October 2014.
    39. ^ Ramesh, Randeep (4 May 2016). "Google's DeepMind shouldn't suck up our NHS records in secret"The Guardian. Archived from the original on 13 October 2016. Retrieved 19 October 2016.
    40. ^ Hern, Alex (4 October 2017). "DeepMind announces ethics group to focus on problems of AI"The Guardian – via www.theguardian.com.
    41. ^ "DeepMind has launched a new 'ethics and society' research team"Business Insider. Retrieved 25 October 2017.
    42. ^ "DeepMind launches new research team to investigate AI ethics"The Verge. Retrieved 25 October 2017.
    43. ^ Madhumita Murgia, "DeepMind co-founder leaves for policy role at Google"Financial Times, 5 December 2019
    44. ^ Roth, Emma; Peters, Jay (20 April 2023). "Google's big AI push will combine Brain and DeepMind into one team"The VergeArchived from the original on 20 April 2023. Retrieved 21 April 2023.
    45. ^ "DeepMind Technologies Website". DeepMind Technologies. Retrieved 11 October 2014.
    46. ^ Amodei, Dario; Olah, Chris; Steinhardt, Jacob; Christiano, Paul; Schulman, John; Mané, Dan (21 June 2016). "Concrete Problems in AI Safety". arXiv:1606.06565 [cs.AI].
    47. ^ "Publications"DeepMind. Retrieved 11 September 2016.
    48. ^ "DeepMind Has Simple Tests That Might Prevent Elon Musk's AI Apocalypse"Bloomberg.com. 11 December 2017. Retrieved 8 January 2018.
    49. ^ "Alphabet's DeepMind Is Using Games to Discover If Artificial Intelligence Can Break Free and Kill Us All"Fortune. Retrieved 8 January 2018.
    50. ^ "DeepMind AI’s new trick is playing ‘Quake III Arena’ like a human"Engadget. 3 July 2018.
    51. ^ Shead, Sam (5 June 2020). "Why the buzz around DeepMind is dissipating as it transitions from games to science"CNBC. Retrieved 12 June 2020.
    52. Jump up to:a b Mnih, Volodymyr; Kavukcuoglu, Koray; Silver, David; Graves, Alex; Antonoglou, Ioannis; Wierstra, Daan; Riedmiller, Martin (12 December 2013). "Playing Atari with Deep Reinforcement Learning". arXiv:1312.5602 [cs.LG].
    53. Jump up to:a b c Deepmind artificial intelligence @ FDOT14. 19 April 2014.
    54. ^ "A look back at some of AI's biggest video game wins in 2018"VentureBeat. 29 December 2018. Retrieved 19 April 2019.
    55. ^ Mnih, Volodymyr; Kavukcuoglu, Koray; Silver, David; Graves, Alex; Antonoglou, Ioannis; Wierstra, Daan; Riedmiller, Martin (19 December 2013). "Playing Atari with Deep Reinforcement Learning". arXiv:1312.5602 [cs.LG].
    56. ^ Adrià Puigdomènech Badia; Piot, Bilal; Kapturowski, Steven; Sprechmann, Pablo; Vitvitskyi, Alex; Guo, Daniel; Blundell, Charles (30 March 2020). "Agent57: Outperforming the Atari Human Benchmark". arXiv:2003.13350 [cs.LG].
    57. ^ "Agent57: Outperforming the Atari Human Benchmark"DeepMind. 31 March 2020. Retrieved 25 May 2020.
    58. ^ Linder, Courtney (2 April 2020). "This AI Can Beat Humans At All 57 Atari Games"Popular Mechanics. Retrieved 9 June 2020.
    59. ^ Huang, Shih-Chieh; Müller, Martin (12 July 2014). Investigating the Limits of Monte-Carlo Tree Search Methods in Computer Go. Lecture Notes in Computer Science. Vol. 8427. Springer. pp. 39–48. CiteSeerX 10.1.1.500.1701doi:10.1007/978-3-319-09165-5_4ISBN 978-3-319-09164-8.
    60. Jump up to:a b c "Google achieves AI 'breakthrough' by beating Go champion"BBC News. 27 January 2016.
    61. ^ "Première défaite d'un professionnel du go contre une intelligence artificielle"Le Monde (in French). 27 January 2016.
    62. Jump up to:a b "Research Blog: AlphaGo: Mastering the ancient game of Go with Machine Learning"Google Research Blog. 27 January 2016.
    63. ^ "World's Go Player Ratings". May 2017.
    64. ^ "柯洁迎19岁生日 雄踞人类世界排名第一已两年" (in Chinese). May 2017.
    65. ^ "The latest AI can work things out without being taught"The Economist. Retrieved 19 October 2017.
    66. ^ Cellan-Jones, Rory (18 October 2017). "Google DeepMind: AI becomes more alien"BBC News. Retrieved 3 December 2017.
    67. ^ "MuZero: Mastering Go, chess, shogi and Atari without rules"www.deepmind.com. Retrieved 29 April 2022.
    68. ^ Schrittwieser, Julian; Antonoglou, Ioannis; Hubert, Thomas; Simonyan, Karen; Sifre, Laurent; Schmitt, Simon; Guez, Arthur; Lockhart, Edward; Hassabis, Demis; Graepel, Thore; Lillicrap, Timothy (23 December 2020). "Mastering Atari, Go, chess and shogi by planning with a learned model"Nature588 (7839): 604–609. arXiv:1911.08265Bibcode:2020Natur.588..604Sdoi:10.1038/s41586-020-03051-4ISSN 0028-0836PMID 33361790S2CID 208158225.
    69. ^ "MuZero's first step from research into the real world"www.deepmind.com. Retrieved 29 April 2022.
    70. ^ Mandhane, Amol; Zhernov, Anton; Rauh, Maribeth; Gu, Chenjie; Wang, Miaosen; Xue, Flora; Shang, Wendy; Pang, Derek; Claus, Rene; Chiang, Ching-Han; Chen, Cheng (14 February 2022). "MuZero with Self-competition for Rate Control in VP9 Video Compression". arXiv:2202.06626 [eess.IV].
    71. Jump up to:a b Hutson, Matthew (5 October 2022). "DeepMind AI invents faster algorithms to solve tough maths puzzles"Naturedoi:10.1038/d41586-022-03166-wPMID 36198824S2CID 252737506.
    72. Jump up to:a b Heaven, Will Douglas (5 October 2022). "DeepMind's game-playing AI has beaten a 50-year-old record in computer science"MIT Technology Review.
    73. ^ "AI Reveals New Possibilities in Matrix Multiplication"Quanta Magazine. November 2022. Retrieved 26 November 2022.
    74. Jump up to:a b Silver, David; Schrittwieser, Julian; Simonyan, Karen; Antonoglou, Ioannis; Huang, Aja; Guez, Arthur; Hubert, Thomas; Baker, Lucas; Lai, Matthew; Bolton, Adrian; Chen, Yutian; Lillicrap, Timothy; Fan, Hui; Sifre, Laurent; Driessche, George van den; Graepel, Thore; Hassabis, Demis (19 October 2017). "Mastering the game of Go without human knowledge" (PDF)Nature550 (7676): 354–359. Bibcode:2017Natur.550..354Sdoi:10.1038/nature24270ISSN 0028-0836PMID 29052630S2CID 205261034.closed access
    75. ^ Knight, Will. "The world's smartest game-playing AI—DeepMind's AlphaGo—just got way smarter"MIT Technology Review. Retrieved 19 October 2017.
    76. ^ Vincent, James (18 October 2017). "DeepMind's Go-playing AI doesn't need human help to beat us anymore"The Verge. Retrieved 19 October 2017.
    77. ^ Sample, Ian (2 December 2018). "Google's DeepMind predicts 3D shapes of proteins"The Guardian. Retrieved 3 December 2018.
    78. ^ Briggs, Helen (30 November 2020). "One of biology's biggest mysteries 'largely solved' by AI"BBC News. Retrieved 30 November 2020.
    79. ^ "AlphaFold: a solution to a 50-year-old grand challenge in biology"DeepMind. 30 November 2020. Retrieved 30 November 2020.
    80. ^ Shead, Sam (30 November 2020). "DeepMind solves 50-year-old 'grand challenge' with protein folding A.I." cnbc.com. Retrieved 30 November 2020.
    81. ^ Callaway, Ewen (2022). "What's next for AlphaFold and the AI protein-folding revolution"Nature604 (7905): 234–238. Bibcode:2022Natur.604..234Cdoi:10.1038/d41586-022-00997-5PMID 35418629S2CID 248156195.
    82. ^ "Here's Why Google's Assistant Sounds More Realistic Than Ever Before"Fortune. 5 October 2017. Retrieved 20 January 2018.
    83. ^ Gershgorn, Dave. "Google's voice-generating AI is now indistinguishable from humans"Quartz. Retrieved 20 January 2018.
    84. Jump up to:a b Novet, Jordan (31 March 2018). "Google is finding ways to make money from Alphabet's DeepMind A.I. technology"CNBC. Retrieved 3 April 2018.
    85. ^ "Introducing Cloud Text-to-Speech powered by DeepMind WaveNet technology"Google Cloud Platform Blog. Retrieved 5 April 2018.
    86. ^ "Efficient Neural Audio Synthesis"Deepmind. Retrieved 1 April 2020.
    87. ^ "Using WaveNet technology to reunite speech-impaired users with their original voices"Deepmind. Retrieved 1 April 2020.
    88. ^ Stimberg, Florian; Narest, Alex; Bazzica, Alessio; Kolmodin, Lennart; Barrera Gonzalez, Pablo; Sharonova, Olga; Lundin, Henrik; Walters, Thomas C. (1 November 2020). "WaveNetEQ — Packet Loss Concealment with WaveRNN". 2020 54th Asilomar Conference on Signals, Systems, and Computers. IEEE. pp. 672–676. doi:10.1109/ieeeconf51394.2020.9443419ISBN 978-0-7381-3126-9.
    89. ^ "Improving Audio Quality in Duo with WaveNetEQ"Google AI Blog. April 2020. Retrieved 1 April 2020.
    90. ^ "DeepMind founder Demis Hassabis on how AI will shape the future"The Verge. 10 March 2016.
    91. ^ "DeepMind AI Challenges Pro StarCraft II Players, Wins Almost Every Match"Extreme Tech. 24 January 2019. Retrieved 24 January 2019.
    92. ^ Amadeo, Ron (11 July 2019). "DeepMind AI is secretly lurking on the public StarCraft II 1v1 ladder"Ars Technica. Retrieved 18 September 2019.
    93. ^ "I played against AlphaStar/Deepmind"reddit. 23 July 2019. Retrieved 27 July 2019.
    94. ^ "AlphaStar: Grandmaster level in StarCraft II using multi-agent reinforcement learning"DeepMind Blog. 31 October 2019. Retrieved 31 October 2019.
    95. ^ Vincent, James (2 February 2022). "DeepMind says its new AI coding engine is as good as an average human programmer"The VergeArchived from the original on 2 February 2022. Retrieved 3 February 2022.
    96. ^ "DeepMind AI Reduces Google Data Centre Cooling Bill by 40%"DeepMind Blog. 20 July 2016.
    97. ^ "DeepMind, meet Android | DeepMind"DeepMind Blog. 8 May 2018.
    98. ^ "Advancing sports analytics through AI research"www.deepmind.com. Retrieved 29 April 2022.
    99. ^ Tuyls, Karl; Omidshafiei, Shayegan; Muller, Paul; Wang, Zhe; Connor, Jerome; Hennes, Daniel; Graham, Ian; Spearman, William; Waskett, Tim; Steel, Dafydd; Luc, Pauline (6 May 2021). "Game Plan: What AI can do for Football, and What Football can do for AI"Journal of Artificial Intelligence Research71: 41–88. doi:10.1613/jair.1.12505ISSN 1076-9757S2CID 227013043.
    100. ^ "Restoring ancient text using deep learning: a case study on Greek epigraphy"www.deepmind.com. Retrieved 29 April 2022.
    101. ^ "Predicting the past with Ithaca"www.deepmind.com. Retrieved 29 April 2022.
    102. ^ Gupta, Khushboo (28 September 2022). "Deepmind Introduces 'Sparrow,' An Artificial Intelligence-Powered Chatbot Developed To Build Safer Machine Learning Systems". Retrieved 8 May 2023.
    103. ^ "What Is Chinchilla AI: Chatbot Language Model Rival By Deepmind To GPT-3 - Dataconomy". 12 January 2023. Retrieved 8 May 2023.
    104. ^ Baraniuk, Chris (6 July 2016). "Google's DeepMind to peek at NHS eye scans for disease analysis". BBC. Retrieved 6 July 2016.
    105. ^ Baraniuk, Chris (31 August 2016). "Google DeepMind targets NHS head and neck cancer treatment". BBC. Retrieved 5 September 2016.
    106. ^ "DeepMind announces second NHS partnership". IT Pro. 23 December 2016. Retrieved 23 December 2016.
    107. ^ "Google DeepMind's Streams technology branded 'phenomenal'". Digital Health. 4 December 2017. Retrieved 23 December 2017.
    108. ^ "Google DeepMind announces new research partnership to fight breast cancer with AI"Silicon Angle. 24 November 2017.
    109. ^ "Google's DeepMind wants AI to spot kidney injuries"Venture Beat. 22 February 2018.
    110. ^ Evenstad, Lis (15 June 2018). "DeepMind Health must be transparent to gain public trust, review finds"ComputerWeekly.com. Retrieved 14 November 2018.
    111. ^ Vincent, James (13 November 2018). "Google is absorbing DeepMind's health care unit to create an 'AI assistant for nurses and doctors'"The Verge. Retrieved 14 November 2018.
    112. ^ Hern, Alex (14 November 2018). "Google 'betrays patient trust' with DeepMind Health move"The Guardian. Retrieved 14 November 2018.
    113. ^ Stokel-Walker, Chris (14 November 2018). "Why Google consuming DeepMind Health is scaring privacy experts"Wired. Retrieved 15 November 2018.
    114. ^ Murphy, Margi (14 November 2018). "DeepMind boss defends controversial Google health deal"The TelegraphArchived from the original on 12 January 2022. Retrieved 14 November 2018.
    115. ^ Hodson, Hal (29 April 2016). "Revealed: Google AI has access to huge haul of NHS patient data"New Scientist.
    116. ^ "Leader: If Google has nothing to hide about NHS data, why so secretive?"New Scientist. 4 May 2016.
    117. ^ Donnelly, Caroline (12 May 2016). "ICO probes Google DeepMind patient data-sharing deal with NHS Hospital Trust"Computer Weekly.
    118. ^ Hodson, Hal (25 May 2016). "Did Google's NHS patient data deal need ethical approval?"New Scientist. Retrieved 28 May 2016.
    119. ^ "Royal Free - Google DeepMind trial failed to comply with data protection law"ico.org.uk. 17 August 2017. Archived from the original on 16 June 2018. Retrieved 15 February 2018.
    120. ^ "The Information Commissioner, the Royal Free, and what we've learned | DeepMind"DeepMind. Retrieved 15 February 2018.
    121. ^ "For Patients | DeepMind"DeepMind. Retrieved 15 February 2018.
    122. ^ Martin, Alexander J (15 May 2017). "Google received 1.6 million NHS patients' data on an 'inappropriate legal basis'"Sky News. Retrieved 16 May 2017.
    123. ^ Hern, Alex (3 July 2017). "Royal Free breached UK data law in 1.6m patient deal with Google's DeepMind"The Guardian.
    124. ^ "Why we launched DeepMind Ethics & Society"DeepMind Blog. Retrieved 25 March 2018.
    125. ^ Temperton, James. "DeepMind's new AI ethics unit is the company's next big move"Wired (UK). Retrieved 3 December 2017.
    126. ^ Hern, Alex (4 October 2017). "DeepMind announces ethics group to focus on problems of AI"The Guardian. Retrieved 8 December 2017.
    127. ^ Hern, Alex (4 October 2017). "DeepMind announces ethics group to focus on problems of AI"The Guardian. Retrieved 12 June 2020.
    128. ^ "Cambridge appoints first DeepMind Professor of Machine Learning"University of Cambridge. 18 September 2019.
    129. ^ "DeepMind funds new post at Oxford University – the DeepMind Professorship of Artificial Intelligence"Department of Computer Science.
    130. ^ "DeepMind renews its commitment to UCL"University College London. 29 March 2021.

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