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How can we characterize consensus in a network of agents?

Nicolas Schwind 23 Jul 2026

Belief Flow Networks give a logic-based way to ask not only whether connected agents will eventually agree on a shared "belief", but which final shared beliefs can emerge.

AAAI presidential panel – AI and scientific integrity

Lucy Smith 21 Jul 2026

Watch the next panel discussion in this series from AAAI.

Interactive world simulator for robot policy training and evaluation

Yixuan Wang 17 Jul 2026

Yixuan Wang discusses his faithful world simulator that allows robots to learn how to push, pick up, and grasp objects.

François Pachet on music generation with AI

Liliane-Caroline Demers 16 Jul 2026

“The day I hear a song of the quality of the Beatles, I will say: ‘Okay, we are done’. And I’ve never heard anything like that. Never.”

Interview with Thi Kieu Khanh Ho: Time-series anomaly detection

Lucy Smith 09 Jul 2026

How can we teach AI systems to recognize when something unusual or abnormal is happening in complex, real-world data streams, without relying on large amounts of labeled examples?

Anyone can fake a scientific image with AI, tricking even academic journals – and undermining trust in science

The Conversation 22 Jul 2026

The proliferation of AI-generated science images in public spaces is not simply a misinformation problem.

Congratulations to the #ICML2026 award winners

Lucy Smith 20 Jul 2026

Find out which articles have won the outstanding paper, outstanding position paper, and the test-of-time awards.

#ICML2026 social media round-up

AIhub 17 Jul 2026

We take a look at what the participants got up to in Seoul.

AI for science – talk recordings now available to watch

Lucy Smith 15 Jul 2026

Watch the invited talks from the day on YouTube.

AAAI presidential panel – factuality and trustworthiness

Lucy Smith 14 Jul 2026

Watch the latest panel discussion in the series based on the Future of AI research report from AAAI.

The secret to human ‘brilliance’ that AI just can’t match

Stanford Report 13 Jul 2026

New research reveals how people learn social conventions with minimal data – and why that sets us apart from LLMs.

Pre-training isn’t bitter enough

ML@CMU 10 Jul 2026

Given an unlabeled data stream, and a small set of verifiable downstream examples, can we use those examples during continued pre-training?

#RoboCup2026 social media round-up

Lucy Smith 08 Jul 2026

Find out what the teams got up to at this year's RoboCup extravaganza in Incheon.

Congratulations to the 2026 EurAI distinguished service award winners

EurAI (European Association for Artificial Intelligence) 07 Jul 2026

Two researchers honoured for their contributions to the community.

#RoboCup2026 – humanoid league knockout stages

Lucy Smith 06 Jul 2026

Find out who won the small, middle and large divisions in Incheon.

#RoboCup2026 – humanoid league day 2

Lucy Smith 03 Jul 2026

Find out the latest from day two of the competition.

#RoboCup2026 – humanoid league day 1

Lucy Smith 02 Jul 2026

In the first of our round-ups from the humanoid league we introduce the competition, and report some preliminary results.

Adaptive parallel reasoning: the next paradigm in efficient inference scaling

BAIR blog 02 Jul 2026

A detailed analysis of recent progress in the field of parallel reasoning.

Scientists develop new method to generate protein datasets for training AI

Rice University 01 Jul 2026

AI is only as good as the data used to train it, and in some areas of protein engineering, the right data is hard to come by.

What’s coming up at #RoboCup2026?

Lucy Smith 29 Jun 2026

Find out what's in store at this year's international competition.

AI model used to generate complete models of proteins in motion

EPFL 26 Jun 2026

Researchers have used a neural network to create all-atom models of proteins, as well as the dynamic movements that govern their function.

Three ways to avoid being fooled by AI slop

The Conversation 24 Jun 2026

Global society makes billions of images and uploads hundreds of thousands of hours of video on the internet every day. The problem is, some of this content is misleading or downright wrong.

Engineering Out Loud: S13E1 – How many robots can a single human supervise?

Engineering Out Loud 22 Jun 2026

Professor Julie Adams describes the research showing that one person can supervise more than 100 autonomous ground and aerial robots.

Everything, eco-where, AI at once?

Laura Martínez Agudelo and Better Images Of AI 19 Jun 2026

Laura Martinez Agudelo builds on her research of visual representations of ecology and digitalisation to explore how "AI eco-imagery" is portrayed.

AI is making journalistic language more repetitive and predictable – and it’s a problem for all of us

The Conversation 17 Jun 2026

What happens to language when a growing amount of text published in the press, online and on social media is written by machines?

monthly digest

Statistical or embodied? Comparing people and LLMs in their processing of color metaphors: an interview with Douglas Guilbeault

Ella Scallan 09 Jun 2026

We learn what implications color metaphors and synaesthesia have for human and AI cognition.