The Salvador Convention Center, where RoboCup 2025 will take place. RoboCup is an international scientific initiative with the goal of advancing the state of the art of intelligent robots, AI and automation. The annual RoboCup event, where teams gather from across the globe to take part in competitions across a number of leagues, will this year take place in Brazil, … Read More
Graphic novel explains the environmental impact of AI
Utop’IA, Herji in collaboration with the LEARN Center of EPFL. © Julie Clerget By Laureline Duvillard Artificial intelligence (AI) is all around us. It’s in the headlines and public discourse and touches just about every part of society. But the technology is also adept at flying under the radar. For many, it’s an abstract concept – something nebulous and beyond … Read More
Interview with Amar Halilovic: Explainable AI for robotics
In this interview series, we’re meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. The Doctoral Consortium provides an opportunity for a group of PhD students to discuss and explore their research interests and career objectives in an interdisciplinary workshop together with a panel of established researchers. In this latest interview, we hear from … Read More
Congratulations to the #IJCAI2025 award winners
Image credit: Photo by Giorgio Trovato on Unsplash. The winners of three International Joint Conferences on Artificial Intelligence (IJCAI) awards have been announced. These three distinctions are: the Award for Research Excellence, the Computers and Thought Award and the John McCarthy Award. IJCAI-25 Award for Research Excellence The Research Excellence award is given to a scientist who has carried out … Read More
Machine learning powers new approach to detecting soil contaminants
By Silvia Cernea Clark A team of researchers at Rice University and Baylor College of Medicine has developed a new strategy for identifying hazardous pollutants in soil, even ones that have never been isolated or studied in a lab. The new approach, described in a study published in Proceedings of the National Academy of Sciences, uses light-based imaging, theoretical predictions … Read More
What is AI slop? Why you are seeing more fake photos and videos in your social media feed
By Jon Roozenbeek, University of Cambridge; Sander van der Linden, University of Cambridge, and Yara Kyrychenko, University of Cambridge In May 2025, a post asking “[Am I the asshole] for telling my husband’s affair partner’s fiancé about their relationship?” quickly received 6,200 upvotes and more than 900 comments on Reddit. This popularity earned the post a spot on Reddit’s front … Read More
The Machine Ethics podcast – DeepDive: AI and the environment
Hosted by Ben Byford, The Machine Ethics Podcast brings together interviews with academics, authors, business leaders, designers and engineers on the subject of autonomous algorithms, artificial intelligence, machine learning, and technology’s impact on society. DeepDive: AI and the environment This is our 100th episode! A super special look at AI and the environment, we interviewed four experts for this DeepDive … Read More
Interview with Debalina Padariya: Privacy-preserving generative models
In this interview series, we’re meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. In this latest interview, we hear from Debalina Padariya and hear about her work on Privacy-Preserving Generative Models, why this is such an interesting area for study, the different projects she’s been involved in so far during her PhD, and … Read More
Forthcoming machine learning and AI seminars: June 2025 edition
This post contains a list of the AI-related seminars that are scheduled to take place between 2 June and 31 July 2025. All events detailed here are free and open for anyone to attend virtually. 2 June 2025 Fundamental limitations of foundational time series forecasting models: The need for multimodality and rigorous evaluation Speaker: Daniel Schmidt (Monash University) Organised by: … Read More
AIhub monthly digest: May 2025 – materials design, object state classification, and real-time monitoring for healthcare data
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 learn about drug and material design using generative models and Bayesian optimization, find out about a system for real-time monitoring for healthcare data, and explore domain-specific distribution shifts in volunteer-collected … Read More