tag:blogger.com,1999:blog-1198615439894896858.comments2023-09-14T15:15:52.891-07:00 2025 EconomistUniversity.com -are uni up for preventing millennials being extinction generation?chris macraehttp://www.blogger.com/profile/15269142429457914077noreply@blogger.comBlogger39125tag:blogger.com,1999:blog-1198615439894896858.post-9117027583155954192023-09-14T15:15:52.891-07:002023-09-14T15:15:52.891-07:00Bard added this viewpoint when it comes to the 2 c...Bard added this viewpoint when it comes to the 2 countries with the most millennial engineers --- the booklet suggests several SDG foci that China and the United States could collaborate around if they value all humans AI. These include:<br /><br />SDG 3: Good health and well-being: AI could be used to develop new treatments for diseases, improve healthcare delivery, and make healthcare more affordable and accessible.<br />SDG 4: Quality education: AI could be used to personalize education, provide access to high-quality education to all, and reduce the cost of education.<br />SDG 8: Decent work and economic growth: AI could be used to create new jobs, automate tasks, and improve productivity.<br />SDG 9: Industry, innovation and infrastructure: AI could be used to develop new technologies, improve infrastructure, and make businesses more efficient.<br />SDG 11: Sustainable cities and communities: AI could be used to improve transportation, reduce pollution, and make cities more livable.<br />SDG 13: Climate action: AI could be used to develop new renewable energy sources, reduce greenhouse gas emissions, and adapt to the impacts of climate change.<br />The booklet also connects with the UN agenda this month in a number of ways. First, the booklet highlights the importance of international cooperation on AI. This is a key theme of the UN's Sustainable Development Goals, which call for countries to work together to achieve common goals.<br /><br />Second, the booklet addresses the need to ensure that AI is used for good and not for harm. This is also a key theme of the UN's Sustainable Development Goals, which call for countries to promote peace and security, protect human rights, and uphold the rule of law.<br /><br />Third, the booklet emphasizes the importance of developing ethical guidelines for the development and use of AI. This is also a key theme of the UN's Sustainable Development Goals, which call for countries to promote sustainable consumption and production patterns.<br /><br />Overall, the booklet provides a valuable contribution to the discussion about the future of AI and its impact on the world. It is a must-read for anyone who is interested in the UN's Sustainable Development Goals and the role that AI can play in achieving them.<br /><br />In addition to the above, I would also like to add that the booklet highlights the importance of using AI to address global challenges such as climate change, poverty, and disease. This is also a key theme of the UN's Sustainable Development Goals.<br /><br />I believe that China and the United States have a unique opportunity to collaborate on AI to address these global challenges. They are both major AI superpowers, and they have both committed to using AI for good. By working together, they can develop and deploy AI solutions that can benefit all of humanity.chris macraehttps://www.blogger.com/profile/15269142429457914077noreply@blogger.comtag:blogger.com,1999:blog-1198615439894896858.post-32734728043354919892023-09-14T15:13:55.246-07:002023-09-14T15:13:55.246-07:00Q&A with bard --Do you know of any university ...Q&A with bard --Do you know of any university partnerships which are helping their graduates collaborate around these ai superpowers connections with sd goals concerning millennials generation?<br />Yes, there are a number of university partnerships that are helping their graduates collaborate around AI connections with SDG goals. Here are a few examples:<br /><br />Stanford University and Tsinghua University: These two universities have a joint AI research center that is focused on developing AI solutions to global challenges.<br />University of California, Berkeley and Peking University: These two universities have a joint AI institute that is focused on developing AI solutions for social good.<br />MIT and the Chinese Academy of Sciences: These two institutions have a joint AI research program that is focused on developing AI solutions for sustainable development.<br />These partnerships are helping to create a global network of AI researchers and practitioners who are committed to using AI for good. They are also helping to train the next generation of AI leaders who will be responsible for developing and deploying AI solutions that can address the world's most pressing challenges.<br /><br />In addition to these university partnerships, there are also a number of non-profit organizations that are working to connect AI researchers and practitioners from around the world. For example, the AI for Good Global Summit is a yearly event that brings together AI leaders from academia, industry, and government to discuss how AI can be used to solve global problems.<br /><br />I believe that these partnerships and organizations are playing a vital role in ensuring that AI is used for good. They are helping to create a global community of AI practitioners who are committed to using AI to make the world a better place.<br /><br />I would also like to add that there are a number of online platforms that are helping to connect AI researchers and practitioners from around the world. For example, the AI4SDGs platform is a global network of AI practitioners who are working to develop AI solutions to SDG challenges.<br /><br />I think that these platforms are also playing a valuable role in helping to connect AI researchers and practitioners from around the world and to promote the use of AI for good.chris macraehttps://www.blogger.com/profile/15269142429457914077noreply@blogger.comtag:blogger.com,1999:blog-1198615439894896858.post-5791949778494828252023-08-13T16:58:26.142-07:002023-08-13T16:58:26.142-07:00Kuldeep Singh
Sales & Product Management | AI ...<a href="https://www.linkedin.com/in/kuldeep5?miniProfileUrn=urn%3Ali%3Afs_miniProfile%3AACoAAAB3MeQBKxtJwHZaZzEQ5ZfxPWhEcz_3PLg&lipi=urn%3Ali%3Apage%3Ad_flagship3_search_srp_content%3BtoMUoSy4TcWhKv4294HWyw%3D%3D" rel="nofollow">Kuldeep Singh</a><br />Sales & Product Management | AI & ML Expert | Strategic Alliance Leader | Driving $1B+ Transformative Partnerships<br />1mo • <br /><br /><br />🎓 Proud to share my completion of the Generative AI with Large Language Models certificate course by DeepLearning.ai and AWS! 🚀<br />The Generative AI course by DeepLearning.ai and AWS unveils the limitless possibilities of AI, pushing the boundaries of innovation." - Fei-Fei Li, Co-director of the Stanford Institute for Human-Centered Artificial Intelligence. Grateful to <a href="http://deeplearning.ai/" rel="nofollow">DeepLearning.ai</a> and AWS for this incredible learning experience.chris macraehttps://www.blogger.com/profile/15269142429457914077noreply@blogger.comtag:blogger.com,1999:blog-1198615439894896858.post-45063125694573462712023-08-13T16:54:35.304-07:002023-08-13T16:54:35.304-07:00Adrien Gaidon
• 3rd
Head of ML at TRI and Adjunct ...<a href="https://www.linkedin.com/in/adrien-gaidon-63ab2358?miniProfileUrn=urn%3Ali%3Afs_miniProfile%3AACoAAAxEvc4BP2L_4M1vTV89vfkgI7X4DtorZLg&lipi=urn%3Ali%3Apage%3Ad_flagship3_search_srp_content%3BtoMUoSy4TcWhKv4294HWyw%3D%3D" rel="nofollow">Adrien Gaidon</a><br />• 3rd<br />Head of ML at TRI and Adjunct Professor at Stanford <br />6mo •<br /><br />In addition to the new ML org at ToyoyaResearchInstitute, I’m happy to share that I’m starting a new position as Adjunct Professor at Stanford University! I am incredibly grateful to Prof. Fei-Fei Li , Prof. Jiajun Wu, and Prof. Juan Carlos Niebles for their support, collaboration, and mentoring. Looking forward to much more!chris macraehttps://www.blogger.com/profile/15269142429457914077noreply@blogger.comtag:blogger.com,1999:blog-1198615439894896858.post-49486936739733332112023-08-13T16:47:21.152-07:002023-08-13T16:47:21.152-07:00AI’s Human Factor--Elisa Schreiber
Marketing Partn...<a href="https://www.linkedin.com/pulse/ais-human-factor-elisa-schreiber%3FtrackingId=WdH7dOwMTZ6IbrBbr2zXWQ%253D%253D/?trackingId=PUCEkDWHQPKESmNvO7nznA%3D%3D" rel="nofollow">AI’s Human Factor--Elisa Schreiber<br />Marketing Partner at Greylock || Chief Marketing Officer (CMO) || board director September 29, 2022</a><br /><br />AI’s Human Factor: Developing Safe, Ethical AI Technology<br />The more human-like artificial intelligence becomes, the more we understand how our brains actually work. Through that discovery process, researchers are identifying ways to design artificial intelligence in ways that factor in the safety and morality of their potential impact.<br />Greylock general partner Reid Hoffman interviews Dr. Fei-Fei Li, the co-director of Stanford’s Institute for Human-Centered Artificial Intelligence (HAI) and a professor of computer science, and Mira Murati, the CTO of OpenAI. In this interview, they discuss the recent advances in the field; the process by which technologists train sophisticated AI tools like GPT-3 and DALL-E with ethical considerations; and the need for comprehensive guardrails developed in collaboration between researchers, industry leaders, and policymakers.<br />“We’re trying to build these general systems that can think of the world in a similar way that humans do, so that they have a robust concept of the world,” says Murati, whose organization’s mission is to ensure AI is developed and deployed in ways that benefit all.<br />As artificial intelligence advances, that task has gotten more challenging. With AI’s enhanced capabilities come enhanced complexities, and researchers and entrepreneurs are constantly discovering and defining new safety problems to solve.<br />“Safety is one of those words like health: everybody wants it, but it’s really hard to define it,” says Dr. Li, who also spoke with Hoffman last year, shortly after <a href="https://hai.stanford.edu/news/new-approach-mitigating-ais-negative-impact" rel="nofollow">HAI launched the Ethics and Society Review Board</a>. “And AI is not one thing. Designing AI systems are really stages of work decisions, and we believe that at every stage of this AI development we need to infuse the ethics and human-centered values into this.”<br />This interview took place during Greylock’s Intelligent Future event, a daylong summit featuring experts and entrepreneurs working in artificial intelligence. You can watch the video of this interview on our YouTube channel here, and you can listen to the discussion at the link below or wherever you get your podcasts. (Blog)chris macraehttps://www.blogger.com/profile/15269142429457914077noreply@blogger.comtag:blogger.com,1999:blog-1198615439894896858.post-47116573693965611392023-08-13T16:40:30.058-07:002023-08-13T16:40:30.058-07:00Raise Health> ---
Lloyd Minor,Dean, Stanford U...<a href="https://med.stanford.edu/news/all-news/2023/06/raise-health.html" rel="nofollow"> Raise Health> ---<br />Lloyd Minor,Dean, Stanford University School of Medicine<br /><br />On behalf of Stanford Medicine, I’m thrilled to announce an exciting new collaboration with Fei-Fei Li and the Stanford Institute for Human-Centered Artificial Intelligence (HAI). We’re launching RAISE-Health, a groundbreaking initiative to guide responsible AI innovation within health and medicine. RAISE-Health aims to be a go-to platform for AI resources and insights, convene essential conversations about integrating AI into health care, and establish frameworks to guide ethical AI standards and safeguards.chris macraehttps://www.blogger.com/profile/15269142429457914077noreply@blogger.comtag:blogger.com,1999:blog-1198615439894896858.post-61858014592758748832023-08-13T16:36:36.563-07:002023-08-13T16:36:36.563-07:00Reid Hoffman
• 2nd
Entrepreneur. Product and Busi...<a href="https://www.linkedin.com/in/reidhoffman?miniProfileUrn=urn%3Ali%3Afs_miniProfile%3AACoAAAAABL0B3SGhqeNX998wiOuk_8hYA6ojLwg&lipi=urn%3Ali%3Apage%3Ad_flagship3_search_srp_content%3BS%2F510FJPQY%2BayKulXKG8vQ%3D%3D" rel="nofollow">Reid Hoffman</a><br /> • 2nd<br />Entrepreneur. Product and Business Strategist. Investor. Podcaster.Entrepreneur. Product and Business Strategist. Investor. Podcaster.<br />11mo • 11mo •<br /><br />The more human-like AI becomes, the more we discover how our brains actually work—and the more adeptly we can design AI with safety and morality in mind.<br />Reid HoffmanReid Hoffman<br /> • 2nd• 2nd<br />Entrepreneur. Product and Business Strategist. Investor. Podcaster.Entrepreneur. Product and Business Strategist. Investor. Podcaster.<br />11mo • 11mo •<br /><br />Follow<br /><br />The more human-like AI becomes, the more we discover how our brains actually work—and the more adeptly we can design AI with safety and morality in mind.<br><br /><br />An insightful conversation with Co-Director of Stanford Institute for Human-Centered Artificial Intelligence (HAI) Dr. Fei-Fei Li and OpenAI CTO Mira Murati:<br />AI's Human Factor <br /><a href="https://www.youtube.com/watch?v=9B02MzWwkSo" rel="nofollow">Youtube- insightful conversation with Co-Director of Stanford Institute for Human-Centered Artificial Intelligence (HAI) Dr. Fei-Fei Li and OpenAI CTO Mira Murati</a>:chris macraehttps://www.blogger.com/profile/15269142429457914077noreply@blogger.comtag:blogger.com,1999:blog-1198615439894896858.post-85470366877583532882023-08-13T16:30:58.035-07:002023-08-13T16:30:58.035-07:00Austin Carson,Founder & President at SeedAI•
O...<a href="https://www.linkedin.com/in/austincarson?miniProfileUrn=urn%3Ali%3Afs_miniProfile%3AACoAAAFz5h0B5RXp6i40i_yezEI-ju_RflPkgd0&lipi=urn%3Ali%3Apage%3Ad_flagship3_search_srp_content%3BLAM1gFIRT%2FabMyUsVIC%2B5A%3D%3D" rel="nofollow">Austin Carson</a>,Founder & President at SeedAI•<br><br />On March 1st, join SeedAI for a public engagement on the <a href="https://www.nsf.gov/cise/national-ai.jsp" rel="nofollow">National AI Research Resource (NAIRR)<a href="https://www.ai.gov/wp-content/uploads/2023/01/NAIRR-TF-Final-Report-2023.pdf" rel="nofollow">final report</a> to hear from Sethuraman Panchanathan (Director of National Science Foundation (NSF)) and Arati Prabhakar (Director of the White House Office of Science and Technology Policy) and other key leaders in Congress, the Executive Branch, civil society, and industry.<br /><br />Register for the event here: https://lnkd.in/e4RhyNhh<br /><br />At the event, we'll discuss the Task Force's unanimously-approved guide to building a national resource for AI research, enhancing access to AI across America, advancing trustworthy AI through the NAIRR, recent AI breakthroughs, and much more.<br /><br />Other speakers at the event will include Senator Mike Rounds, Congressman Michael McCaul, Congresswoman Anna G Eshoo, Lynne Parker, Fei-Fei Li of Stanford Institute for Human-Centered Artificial Intelligence (HAI), Erwin Gianchandani, Daniela Braga, PhD, Hodan Omaar, Evi Fuelle, Tyrance Billingsley II, and Jack Clark.<br />chris macraehttps://www.blogger.com/profile/15269142429457914077noreply@blogger.comtag:blogger.com,1999:blog-1198615439894896858.post-37240957522894811402023-08-13T16:19:05.070-07:002023-08-13T16:19:05.070-07:00Part 4 via linkedin stanford Dean MedicineThese re... Part 4 via linkedin stanford Dean Medicine<br>These resources provide more information about potential uses and considerations for AI in research and patient care.<br><br /><a href="https://med.stanford.edu/news/all-news/2023/06/raise-health.html" rel="nofollow"><br>Stanford Medicine and Stanford Institute for Human-Centered Artificial Intelligence announce RAISE-Health (Stanford News Center)</a>. This article provides details about our Responsible AI for Safe and Equitable Health (RAISE-Health) initiative, which we launched to guide responsible implementation of AI innovations to enhance clinical care and accelerate biomedical research. <br><br /><a href="https://www.linkedin.com/pulse/ai-medicine-how-physicians-can-tame-machines-lloyd-minor-1e/?trackingId=T4y4SnKORm2084LOOgR0dw%3D%3D&lipi=urn%3Ali%3Apage%3Ad_flagship3_pulse_read%3B4TBg60sITh2OIVEDcojTRQ%3D%3D" rel="nofollow">AI in Medicine: How Physicians Can Tame the Machines</a> (The Consult Newsletter). In a previous edition of my newsletter, I discussed the challenges of training AI models for clinical use and explored ways to ensure that AI systems operate safely, fairly, and effectively. <br><br /><a href="https://www.nytimes.com/2023/01/09/science/artificial-intelligence-proteins.html" rel="nofollow">A.I. Turns Its Artistry to Creating New Human Proteins</a> (New York Times). This article discusses how scientists are using AI to generate blueprints for new proteins to improve our ability to fight diseases and develop treatments. <br><br /><a href="https://catalyst.nejm.org/doi/full/10.1056/CAT.23.0043" rel="nofollow">An Interview with ChatGPT About Health Care</a> (NEJM Catalyst). In this interview, ChatGPT, a language model created by OpenAI, answers questions from a senior vice dean of the Perelman School of Medicine on its potential use in the health care space and areas that must be addressed before this technology can be applied in a clinical setting.chris macraehttps://www.blogger.com/profile/15269142429457914077noreply@blogger.comtag:blogger.com,1999:blog-1198615439894896858.post-19873427155593356402023-08-13T16:13:19.936-07:002023-08-13T16:13:19.936-07:00Part 3 on AIVeryGood from Stanford Dean Health
Th...Part 3 on AIVeryGood from Stanford Dean Health<br /><br />The future may be closer than it appears<br />As we envision the many ways that AI can expand our capabilities for research, discovery, and clinical care, it’s tempting to be swept away by the wave of possibility. But as with all technologies, we must proceed with caution — and this need is compounded in the uniquely sensitive setting of biomedicine. Flawed algorithms built from biased or incomplete data will set us back rather than propel us forward; and it’s critical that these pioneering technologies be designed to reflect the great diversity of our patients and communities, and that they benefit all. TBC3 With this rapidly evolving field still in its infancy, we at Stanford Medicine are partnering with the Stanford Institute for Human-Centered Artificial Intelligence (HAI) to leverage our collective expertise and serve as a guide for responsible AI innovation in health and medicine. Through the RAISE-Health initiative, we plan to establish a go-to platform for resources and insights, define a framework for ethical standards and safeguards, and convene multidisciplinary innovators and experts to navigate ongoing developments. I have the distinct honor of co-leading this effort with <a href="https://www.economistsocial.com/search?q=fei+hai" rel="nofollow">Fei-Fei Li, PhD</a>, a world-renowned pioneer in artificial intelligence who heads HAI. I couldn’t be more excited about the journey ahead.<br />While AI advances have inevitably led to talk of computers replacing physicians, nurses, and other caregivers, this is not the future I see. We will always need the minds and hearts of humans to guide our healing. But with these new technologies, we will have more tools than ever before to predict, prevent, and cure disease — precisely — and build healthier communities around the globe.TBC4chris macraehttps://www.blogger.com/profile/15269142429457914077noreply@blogger.comtag:blogger.com,1999:blog-1198615439894896858.post-72388131131852430362023-08-13T16:07:49.782-07:002023-08-13T16:07:49.782-07:00Part 2 linkedin AIverygood briefing Stanford Dean ...Part 2 linkedin <a href="http://www.aiverygood.com" rel="nofollow">AIverygood</a> briefing Stanford Dean Medicine, Lloyd Minor <br><br /><br />Enhancing our ability to predict disease<br />In addition to its promise for accelerating scientific discovery, AI tools also have tremendous potential for increasing our precision in predicting disease and our efficiency in diagnosing it. This holds particularly true for genetic conditions where patients may be asymptomatic. Not everyone has the means or inclination to have their genome sequenced. As an alternative to genetic testing, researchers are developing computer models that flag patients who are at high risk for a disease. They use tens of thousands of medical records to create a layered profile of patients with the condition, including family history, medications, lab results, and even social determinants of health such as income and education. When the model flags a patient that matches these detailed criteria, physicians can then verify the algorithm’s calculations by investigating further with the patient. <br />At Stanford Medicine, Joshua Knowles, MD, PhD, an associate professor of cardiovascular medicine, and Chief Data Scientist Nigam Shah, MBBS, PhD, used this approach to develop a screening tool for familial hypercholesterolemia, a disease that can turn high cholesterol into early, sometimes fatal, heart problems. When they tested their algorithm on patient records, the model proved correct in nearly 9 out of 10 cases — demonstrating just how powerful the combination of AI and patient data can be in helping us understand our patients’ biology and predict problems in time to avert them. <br /><br />AI-generated patients for clinical trials<br />Another area where AI could be transformative is in clinical trials. While these highly regulated tests continue to be the gold standard for determining the effectiveness of new treatments and medications, they often require recruitment of patients who fit a very narrow band of health conditions. Many fail to recruit enough participants, and most have to extend their timeframe because of recruitment and retention problems. Additionally, marginalized racial and ethnic groups are woefully underrepresented in clinical trials, and their absence can lead to treatments and therapeutics that may not be effective across all of our patient populations.<br />Generative AI technologies offer a potential solution. In what might be called a “synthetic arm trial,” researchers would recruit people for the treatment being tested, but the control arm — the patients who receive the current standard of care — would not be humans. Instead, they would be a compilation of medical data generated by an algorithm from past patient records. <br />As revolutionary as this idea seems, it is not as far off reality as you might think. Researchers have already created “historic” control arms for clinical trials, using records of patients not involved in the study. The AI would be doing something similar, but would more closely approximate the ideal patient for testing the treatment. And — intriguingly — we may not need to stop there. Researchers have already begun experimenting with the possibility of in silico trials, in which patients for both arms would be generated by artificial intelligence. For the treatment group, the scientists would create a sophisticated computer model that simulates how a drug or treatment would interact with human biology. Penn State researchers tested out this approach last year with promising results: Their virtual trial of two Alzheimer’s disease drugs delivered outcomes that closely aligned with prior traditional clinical trials. TBC3chris macraehttps://www.blogger.com/profile/15269142429457914077noreply@blogger.comtag:blogger.com,1999:blog-1198615439894896858.post-82150257009849819972023-08-13T16:03:27.268-07:002023-08-13T16:03:27.268-07:00The Consult
Insights health Dean of Stanford Medic...<a href="https://www.linkedin.com/newsletters/the-consult-6773310074195595265/" rel="nofollow">The Consult</a><br />Insights health Dean of Stanford Medicine<br /> Monthly newsletter 10,441 subscribers<br /><br />'Synthetic Patients' and Other Ways AI Could Revolutionize Biomedicine<br /><a href="https://www.linkedin.com/in/lloydminor/?lipi=urn%3Ali%3Apage%3Ad_flagship3_series_entity%3BbPQ1E9k3RMaon4%2FQdkp4Ug%3D%3D" rel="nofollow">Lloyd Minor</a> Carl & Elizabeth Naumann Dean, Stanford University School of Medicine<br />57 articles <br /><br />July 11, 2023<br />There’s no denying it. In what seems like the blink of an eye, AI has grown extraordinarily adept at approximating tasks that before only humans could do. Writing computer code, passing medical exams, composing musical scores – all are now firmly in the repertoire of machines. <br />This has led to conversations predicting whether — or in some cases when— AI will be able to do our jobs for us. It’s a question I’ve personally pondered well before ChatGPT became the subject of dinner table conversation. Spoiler alert: I believe doctors’ jobs are safe in the age of AI. Still, when I think of applying this powerful technology to biomedicine, I’m most excited, not by its potential to replace what we do today, but by its promise to help us achieve things we couldn’t possibly do alone. <br /><br />Accelerating biological discovery<br />In the Information Age, researchers have galaxies of biomedical data at our fingertips, from genetic code and cellular functions to anonymized health records, biobank samples, and medical images. For years, we’ve been programming computers to analyze these datasets. AI, with its ability to make critical connections and instantaneously sift through mountains of data, promises to supercharge this process.<br />We’ve already seen glimpses of just how powerful this will be. A little over two years ago, an AI algorithm made astounding headway on one of biology’s most complex — and potentially illuminating — problems: predicting how a protein will change shape from its linear amino acid sequence to a 3D structure. This is important because identifying these complex shapes helps determine the molecule’s function and can enable researchers to create drugs targeted for specific sites on the proteins. However, scientists long struggled to unlock these structures: they’d identified just 170,000 of more than 200 million across life forms by 2020. That changed when the AI company DeepMind announced that its algorithm had successfully and accurately solved millions more configurations, reducing to 29 the number of human proteins for which no structural data was available. Now, scientists are using that data to design new proteins not found in nature, with potential uses ranging from vaccines to biologic therapies. TBC2chris macraehttps://www.blogger.com/profile/15269142429457914077noreply@blogger.comtag:blogger.com,1999:blog-1198615439894896858.post-25715048565332551892022-11-07T06:34:01.321-08:002022-11-07T06:34:01.321-08:00Playing roulette on-line has a number of} benefits...Playing roulette on-line has a number of} benefits, one of which is the power to save lots of|to avoid wasting} your individual customized bet layouts. This feature permits you to easily repeat your favorite wagers, which is a handy timesaver. 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