Robot see, robot do: System learns after watching how-tos

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Kushal Kedia (left) and Prithwish Dan (right) are members of the development team behind RHyME, a system that allows robots to learn tasks by watching a single how-to video. By Louis DiPietro Cornell researchers have developed a new robotic framework powered by artificial intelligence – called RHyME (Retrieval for Hybrid Imitation under Mismatched Execution) – that allows robots to learn … Read More

Interview with Ananya Joshi: Real-time monitoring for healthcare data

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In this interview series, we’re meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. Ananya Joshi recently completed her PhD, where she developed a system that experts have used for the past two years to identify respiratory outbreaks (like COVID-19) in large-scale healthcare streams across the United States using her novel algorithms for ranking … Read More

S&P 500 inclusion could drive $9B–$16B inflows into Coinbase: Bernstein

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The inclusion, effective before trading begins on May 19, will see the crypto major replacing Discover Financial Services in the index. Analysts at Bernstein estimate the move could trigger roughly $9 billion in inflows from passive investment vehicles linked to the S&P 500. At a market capitalization of approximately $52 billion, Coinbase would represent around 0.1% of the S&P 500 … Read More

Crypto news today: Coinbase shares surge on S&P 500 inclusion news, marking crypto milestone

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Coinbase (COIN) shares surged over 8% after-hours on news of its S&P 500 inclusion. Coinbase will replace Discover Financial in the index effective before market open on May 19. The inclusion marks a significant milestone, giving broad investor/portfolio exposure to a crypto firm. Shares of cryptocurrency exchange Coinbase (COIN) experienced a significant surge in after-hours trading on Monday following the … Read More

AI-powered robots help tackle Europe’s growing e-waste problem

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Photo credit: Muntaka Chasant, reproduced under a CC BY-SA 4.0 license. By Kaja Šeruga Just outside the historic German town of Goslar, a sprawling industrial complex receives an endless stream of discarded electronics. On arrival, this electronic waste is laboriously prepared for recycling.  Electrocycling GmbH is one of the largest e-waste recycling facilities in Europe. Every year, it processes up … Read More

Interview with Onur Boyar: Drug and material design using generative models and Bayesian optimization

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In this interview series, we’re meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. Onur Boyar is a PhD student at Nagoya university, working on generative models and Bayesian methods for materials and drug design. We met Onur to find out more about his research projects, methodology, and collaborations with chemists. Could you start … Read More

2025 AI Index Report

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The eighth edition of the Artificial Intelligence Index Report was published last month. Released on a yearly basis, the aim of the document is to provide readers with accurate, rigorously validated, and globally sourced data to give insights into the progress of AI and its potential impact on society. The co-directors of the 2025 report are Yolanda Gil and Raymond … Read More

#AAAI2025 outstanding paper – DivShift: Exploring domain-specific distribution shift in large-scale, volunteer-collected biodiversity datasets

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Citizen science platforms like iNaturalist have increased in popularity, fueling the rapid development of biodiversity foundation models. However, such data are inherently biased, and are collected in an opportunistic manner that often skews toward certain locations, times, species, observer experience levels, and states. Our work, titled “DivShift: Exploring Domain-Specific Distribution Shifts in Large-Scale, Volunteer-Collected Biodiversity Datasets,” tackles the challenge of … Read More

Defending against prompt injection with structured queries (StruQ) and preference optimization (SecAlign)

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By Sizhe Chen, Julien Piet, Chawin Sitawarin, David Wagner, Arman Zharmagambetov, Saeed Mahloujifar, Kamalika Chaudhuri, and Chuan Guo Recent advances in Large Language Models (LLMs) enable exciting LLM-integrated applications. However, as LLMs have improved, so have the attacks against them. Prompt injection attack is listed as the #1 threat by OWASP to LLM-integrated applications, where an LLM input contains a … Read More

Forthcoming machine learning and AI seminars: May 2025 edition

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This post contains a list of the AI-related seminars that are scheduled to take place between 5 May and 30 June 2025. All events detailed here are free and open for anyone to attend virtually. 5 May 2025 Gurobi Machine Learning Speaker: Roland Wunderling (Gurobi Optimisation) Organised by: Association of European Operational Research Societies To receive the seminar link, sign … Read More