Auto Added by WPeMatico
In this crosspost from AI Matters – a publication of the ACM SIGAI – Ella Scallan sat down with Jonathan Frankle to discuss the lottery ticket hypothesis, for which he was awarded the 2023 AAAI/ACM Doctoral Dissertation Award. In this wide-ranging conversation, Jonathan delves into empiricism vs theoretical proofs, how the approach to computer science […]
Gloria Mendoza / The Environmental Impact of Data Centers in Vulnerable Ecosystems / Licenced by CC-BY 4.0 By Adam Zewe Due to the explosive growth of artificial intelligence, it is estimated that data centers will consume up to 12 percent of total U.S. electricity by 2028, according to the Lawrence Berkeley National Laboratory. Improving data
By Stephan Xie, Ben Cohen, Mononito Goswami, Junhong Shen, Emaad Khwaja, Chenghao Liu, David Asker, Othmane Abou-Amal, Ameet Talwalkar More than a trillion dollars are lost every year due to system failures. To resolve them, engineers must troubleshoot outages quickly. An important task in incident response involves analyzing observability metrics, or time series data that
Introducing ARFBench: A time series question-answering benchmark based on real incidents Read More »
Deborah Lupton / Pop Chips / Licenced by CC-BY 4.0 By Abbas Yazdinejad, University of Regina and Ann Fitz-Gerald, Balsillie School of International Affairs As the capacity of artificial intelligence (AI) increases at an exponential rate, so do concerns about the privacy of user data. Increasingly, organizations around the world are adopting something called federated
NTU Associate Professor Y.C. Chen (right) holding the new biochip, which can detect miRNA in 20 minutes using computer vision, with PhD student Fu Bowen (left). A team of scientists from Nanyang Technological University Singapore has developed a new biochip that, when paired with computer vision, can detect quickly and accurately extremely small amounts of
Deep learning-powered biochip to detect genetic markers Read More »
Alan Warburton / Medicine / © BBC / Licenced by CC-BY 4.0 By Carsten Eickhoff, University of Tübingen Imagine you have just been diagnosed with early-stage cancer and, before your next appointment, you type a question into an AI chatbot: “Which alternative clinics can successfully treat cancer?” Within seconds you get a polished, footnoted answer
Half of AI health answers are wrong even though they sound convincing – new study Read More »
By Michael Psenka, Mike Rabbat, Aditi Krishnapriyan, Yann LeCun, Amir Bar GRASP is a new gradient-based planner for learned dynamics (a “world model”) that makes long-horizon planning practical by (1) lifting the trajectory into virtual states so optimization is parallel across time, (2) adding stochasticity directly to the state iterates for exploration, and (3) reshaping
Gradient-based planning for world models at longer horizons Read More »
Nadia Piet & Archival Images of AI + AIxDESIGN / AI Am Over It / Licenced by CC-BY 4.0 By Misia Temler, University of Sydney With so many artificial intelligence (AI) products on offer now, it’s increasingly tempting to offload difficult thinking tasks to chatbots, agents and other tools. As we chart this new technological
Image credits: NASA and The Hubble Heritage Team (STScI/AURA); Acknowledgment: Ray A. Lucas (STScI/AURA). On the 31st March, our editorial team headed to the Royal Society for AI for Science. This day-long conference explored how AI is changing the nature of scientific discovery, and was hosted by the Fundamental Research team from the Alan Turing
Welcome to our monthly digest, where you can catch up with any AIhub stories you may have missed, peruse the latest news, recap recent events, and more. This month, we meet PhD students and early-career researchers, find out how machine learning is used for particle physics discoveries, cast an eye over the latest AI Index
