Filippos’s PhD dissertation focuses on developing a method for recognizing object states without visual training data. By leveraging semantic knowledge from online sources and Large Language Models, structured as Knowledge Graphs, Graph Neural Networks learn representations for accurate state classification. In this interview series, we’re meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. … Read More
#AAAI2025 workshops round-up 3: Neural reasoning and mathematical discovery, and AI to accelerate science and engineering
Images from the workshop on “Neural Reasoning and Mathematical Discovery – An Interdisciplinary Two-Way Street”. In this series of articles, we’re publishing summaries with some of the key takeaways from a few of the workshops held at the 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025). In this third round-up article, we hear from the organisers of the workshops … Read More
What’s coming up at #ICRA2025?
The 2025 IEEE International Conference on Robotics and Automation (ICRA) will take place from 19-23 May, in Atlanta, USA. The event will feature plenary talks, technical sessions, posters, workshops and tutorials, forums, and a science communication short course. Plenary speakers There are three plenary sessions this year. The speakers are as follows: Allison Okamura (Stanford University) – Rewired: The Interplay … Read More
AI Song Contest returns for 2025
Fans of the competition will be pleased to hear that the AI Song Contest will return for another year. The initiative was founded with the aim of showcasing the creative potential of human–AI co-creativity in the songwriting process. The competition is open for anyone to enter, either as an individual or a team. The contest will culminate in a live … Read More
Robot see, robot do: System learns after watching how-tos
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
Crypto news today: Coinbase shares surge on S&P 500 inclusion news, marking crypto milestone
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
Interview with Ananya Joshi: Real-time monitoring for healthcare data
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
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
AI-powered robots help tackle Europe’s growing e-waste problem
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
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