No hospital network, government health portal, medical association or academic institution came close to YouTube's number of citations, the researchers said. No hospital network, government health portal, medical association or academic institution came close to YouTube's number of citations, the researchers said. How the'confident authority' of AI Overviews is putting public health at risk Google's search feature AI Overviews cites YouTube more than any medical website when answering queries about health conditions, according to research that raises fresh questions about a tool seen by 2 billion people each month. The company has said its AI summaries, which appear at the top of search results and use generative AI to answer questions from users, are "reliable" and cite reputable medical sources such as the Centers for Disease Control and Prevention and the Mayo Clinic. However, a study that analysed responses to more than 50,000 health queries, captured using Google searches from Berlin, found the top cited source was YouTube .

'It's going to be a life skill': educators discuss the impact of AI on university education Artificial intelligence is changing how students learn and the world they'll graduate into. OpenAI CEO Sam Altman recently told a US podcast that if he was graduating today, "I would feel like the luckiest kid in all of history." Altman, whose company developed and released ChatGPT in November 2022, believes the transformative power of AI offers unprecedented opportunities for young people. Yes, there will be job displacement, but "this always happens," says Altman, "and young people are the best at adapting to this." New, more exciting jobs will emerge, full of greater possibilities. For UK sixth-formers and their families looking at universities, trying to make the best possible choices about what to study - and where - in the age of generative AI, Altman's words may offer some comfort.

Large language model (LLM) research is dramatically impacting society, making it essential to understand the topics and values it prioritizes, the authors and institutions driving it, and its networks of collaboration. Due to the recent growth of the field, many of these fundamental attributes lack systematic description. We gather, annotate, and analyze a new dataset of 16,979 LLM-related arXiv papers, focusing on changes in 2023 vs. 2018-2022. We show that LLM research increasingly focuses on societal impacts: the Computers and Society sub-arXiv has seen 20x growth in its proportion of LLM-related papers in 2023. This change is driven in part by an influx of new authors: a majority of 2023 papers are first-authored by researchers who have not previously written an LLM-related paper, and these papers focus particularly on applications and societal considerations. While a handful of companies hold outsize influence, academia publishes a much larger fraction of papers than industry overall, and this gap widens in 2023. LLM research is also being shaped by social dynamics: there are gender and academic/industry differences in the topics authors prioritize, and a stark U.S./China schism in the collaboration network. Overall, our analysis documents how LLM research both shapes and is shaped by society, attesting to the necessity of sociotechnical lenses; we discuss implications for researchers and policymakers.

Industry releases more "significant" machine learning models than academia, with 32 released in 2022 compared with three. Until 2014, most significant machine learning models were released by academic institutions. Performance on traditional benchmarks is saturating. State-of-the-art results continue to be published, but year-over-year improvement on many benchmarks continues to be marginal. Training of AI models has environmental implications, with BLOOM's training run emitting 25 times more carbon than a single air traveller on a one-way trip from New York to San Francisco.

Over the previous three years, 3AI have conceptualized and executed 450 pathbreaking & pioneering events, summits, conferences, and speaking interventions with innovative formats, & session tracks to bring out the next-in-class themes & topics in AI & Analytics arena. Through our bespoke, differentiated and curated speaking engagements; our 575 marquee, top-of-line AI & Analytics thought leaders in 3AI TLC (Thought Leaders Circle) representing 490 organizations have shared immense nuggets of topical knowledge & insights with our 23000 active & growing members from working professionals & students community. With 90 partner enterprises and deeply entrenched outreach with 890 organizations, 3AI have assiduously strived to fill up the much-needed void in thought leadership for existing & aspiring AI, Analytics & data science leaders and enhance community build-up, talent outreach, branding & marketing interventions for enterprises, GCCs, IT, BPM, Consulting, Technology & Cloud players, Platform providers & pure-play analytics firms.

Retention of students is an issue for academic institutions across the globe, given limited resources and tight budgets. In some countries, the average dropout rate is around 45%. Accordingly, measures are being taken to find a solution to this problem. Experts say that such strategies are most effective if applied in a student's first year of the opted course. The importance of artificial intelligence (AI) and machine learning (ML) can be vital here. Using AI-enabled devices, instructors can suit everyone's needs and requirements on a case-by-case basis which means each learner gets desired attention.

U.S. military and academic researchers are set to explore emerging artificial intelligence applications and form a shared hub to advance how intelligent machines operate with one another and humans across multiple domains. Those efforts and others to develop autonomous air- and ground-based technologies will unfold under a new five-year cooperative agreement between the Army Research Laboratory and University of Maryland. "ARL is always interested in engaging with academic institutions to address unique Army challenges," Karl Kappra, director of ARL's Futures Division, told Nextgov in an email. Interdisciplinary research teams of faculty, staff and students from UMD's College Park and Baltimore County campuses will work directly with 18 initial projects to start. Their pursuits will encompass three main research thrusts--AI, autonomy, and modeling and simulation--the university confirmed in a press release.

The purpose of the conference is to serve as a platform for presenting innovations in the world of artificial intelligence and machine learning with an emphasis on the meeting points between academia and industry. The conference will serve as a meeting place for dialogue, sharing innovations and needs and exchanging opinions and ideas between experts and researchers from both industry and academia dealing with these fields. The conference will include plenary lectures, and poster sessions and is in collaboration with the international conference on design and AI. We are interested in first ideas or products – with an emphasis on finding a partner for further development or research. The length of presentation shall be 10 minutes and the purpose of the presentation is to allow dialogue and space for questions of those interested in the initiative.

The establishment of King Abdullah University of Science and Technology (KAUST) in 2009 was the fulfillment of a lifelong dream of its founder, the late King Abdullah of Saudi Arabia. His vision for the university was deeply rooted in the historical and cultural contexts of the Middle East. He intended the university to be seen as a revival of the old "house of wisdom," which was a premier institution of learning in Baghdad from the 9th century until the 13th century. Starting as a private library of the fabled Caliph Harun Al-Rasheed, it developed quickly into the 9th century equivalent of a research laboratory and a university. The house of wisdom was the birthplace of algebra and was a milieu where many developments took place in various fields of science and humanities.

Continental India has announced its partnership with several academic institutions in India. Continental will collaborate with Indian Institute of Technology Delhi, IIT Madras, International Institute of Information Technology Bangalore and Indraprastha Institute of Information Technology Delhi. Through the partnership, Continental and the academic institutions aim to build competencies on niche ADAS functionalities that would help toward autonomous driving technologies. Continental is one of the leading automotive tech companies working towards the development of autonomous driving technologies. Continental is particularly working on research in scenario perception.