Then we propose a platform, coined Geom3D, which enables benchmarking the effectiveness of geometric strategies.

However, these methods have notable limitations.

Protein-ligand binding prediction is a fundamental problem in AI-driven drug discovery.

It isn't always easy to detect cheating in chess Just three judiciously deployed cheats can turn an otherwise equal chess game into a near-certain victory, a new analysis shows - and systems designed to crack down on cheating might not notice the foul play. Daniel Keren at the University of Haifa in Israel simulated 100,000 matches using the powerful Stockfish chess engine - a computer system that, at its maximum power, is better at playing chess than any human world champion. The matches were played between two computer engines competing at the level of an average chess player - 1500 on the Elo rating scale typically used to calculate skill level in chess. Half the games were logged without any further intervention, while the other half allowed occasional intervention by a stronger computer chess "player" with an Elo score of 3190 - a higher rating than any human player has ever achieved. Competitors usually have a slim advantage when playing white, with a 51 per cent chance of winning, on average, tied to the fact that they make the game's first move.

Authors pictured in order of their interview publication date (left to right, top to bottom). Each year, a small group of PhD students are chosen to participate in the AAAI/SIGAI Doctoral Consortium . This initiative provides an opportunity for the students to discuss and explore their research interests and career objectives in an interdisciplinary workshop together with a panel of established researchers. During 2025, we met with some of the students to find out more about their research and the doctoral consortium experience. Kunpeng Xu completed his PhD at the Université de Sherbrooke and is now a postdoctoral fellow at McGill University.

A backlash against AI imagery in ads may have begun as brands promote'human-made' In a wave of new ads, brands like Heineken, Polaroid and Cadbury have started hating on artificial intelligence (AI), celebrating their work as "human-made". But in these advertising campaigns on TV, billboards on New York streets and on social media, the companies are signalling something larger. Even Apple's new series release, Pluribus, includes the phrase "Made by Humans" in the closing credits. Other brands including H&M and Guess have faced a backlash for using AI brand ambassadors instead of humans. These gestures suggest we have reached a cultural moment in the evolution of this technology, where people are unsure what creativity means when machines can now produce much of what we see, hear and perhaps even be moved by.

Over the course of the year, we've had the pleasure of working with many talented researchers from across the globe. As 2025 draws to a close, we take a look back at some of the excellent blog posts from our contributors. This work contributes to the field of explainable AI by developing a novel neural network that can be directly transformed into logic. The authors explore the tensions between creators and AI-generated content through a survey of 459 artists. Find out more about work presented at ECAI on generating a comprehensive biomedical knowledge graph question answering dataset.

"We really can't do this research without collaboration." Wąsala collaborates with atmospheric scientists from SRON (Space Research Organisation Netherlands) on machine learning models that detect large greenhouse gas emissions from space. There is too much data to review manually, and such models offer a solution. How much greenhouse gas do humans emit? The machine learning method Wąsala refers to detects emissions in the form of a point source: plumes.

In March 2025, the Association for the Advancement of Artificial Intelligence (AAAI), published a report on the Future of AI Research . The report, which was led by outgoing AAAI President Francesca Rossi covers 17 different AI topics and aims to clearly identify the trajectory of AI research in a structured way. As part of this project, members of the report team are taking part in a series of video panel discussions covering selected chapters from the report. In the first panel, the AI experts tackled the considerations around artificial general intelligence (AGI) development. AIhub is dedicated to free high-quality information about AI.

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. Named one of the world's top 100 voices shaping the future of AI, Tim El-Sheikh is a biomedical scientist and ex-pro athlete turned serial deeptech, AI and social entrepreneur since 2001 and is one of the pioneering, first-generation AI founders at London's Silicon Roundabout. Find more from Tim at the CEO Retort . This podcast was created and is run by Ben Byford and collaborators. The podcast, and other content was first created to extend Ben's growing interest in both the AI domain and in the associated ethics.