Interview with Kate Larson: Talking multi-agent systems and collective decision-making

#AAAI2026 social media round up: part 1

Congratulations to the #AAAI2026 outstanding paper award winners

3 Questions: How AI could optimize the power grid

Interview with Xiang Fang: Multi-modal learning and embodied intelligence

An introduction to science communication at #AAAI2026

Interview with Anindya Das Antar: Evaluating effectiveness of moderation guardrails in aligning LLM outputs

Guarding Europe’s hidden lifelines: how AI could protect subsea infrastructure

What’s coming up at #AAAI2026?

Taking humanoid soccer to the next level: An interview with RoboCup trustee Alessandra Rossi

Robots to navigate hiking trails

AAAI presidential panel – AI reasoning

The Machine Ethics podcast: Companion AI with Giulia Trojano

Learning from logical constraints with lower- and upper-bound arithmetic circuits

What are small language models and how do they differ from large ones?

Forthcoming machine learning and AI seminars: January 2026 edition

AAAI presidential panel – AI perception versus reality video discussion

More than half of new articles on the internet are being written by AI

2025 digest of digests

AIhub monthly digest: December 2025 – studying bias in AI-based recruitment tools, an image dataset for ethical AI benchmarking, and end of year compilations

Half of UK novelists believe AI is likely to replace their work entirely

RL without TD learning

AIhub interview highlights 2025

Identifying patterns in insect scents using machine learning

2025 AAAI / ACM SIGAI Doctoral Consortium interviews compilation

A backlash against AI imagery in ads may have begun as brands promote ‘human-made’

AIhub blog post highlights 2025

Using machine learning to track greenhouse gas emissions

AAAI 2025 presidential panel on the future of AI research – video discussion on AGI

The Machine Ethics podcast: the AI bubble with Tim El-Sheikh

Australia’s vast savannas are changing, and AI is showing us how

Generations in Dialogue: Human-robot interactions and social robotics with Professor Marynel Vasquez

AI language models show bias against regional German dialects

We asked teachers about their experiences with AI in the classroom — here’s what they said

Interview with Alice Xiang: Fair human-centric image dataset for ethical AI benchmarking

The Machine Ethics podcast: Fostering morality with Dr Oliver Bridge

Interview with Frida Hartman: Studying bias in AI-based recruitment tools

Forthcoming machine learning and AI seminars: December 2025 edition

AIhub monthly digest: November 2025 – learning robust controllers, trust in multi-agent systems, and a new fairness evaluation dataset

Generations in Dialogue: Embodied AI, robotics, perception, and action with Professor Roberto Martín-Martín

EU proposal to delay parts of its AI Act signal a policy shift that prioritises big tech over fairness

Better images of AI on book covers

What is AI poisoning? A computer scientist explains

New AI technique sounding out audio deepfakes

Learning robust controllers that work across many partially observable environments

ACM SIGAI Autonomous Agents Award 2026 open for nominations

Interview with Mario Mirabile: trust in multi-agent systems

Review of “Exploring metaphors of AI: visualisations, narratives and perception”

Designing value-aligned autonomous vehicles: from moral dilemmas to conflict-sensitive design

Generations in Dialogue: Human-centric AI and collaborative AI systems with Professor Andreea Bobu

Learning from failure to tackle extremely hard problems

How AI can improve storm surge forecasts to help save lives

Rewarding explainability in drug repurposing with knowledge graphs

AI Song Contest – vote for your favourite

Generations in Dialogue: Multi-agent systems and human-AI interaction with Professor Manuela Veloso

Generations in Dialogue: Bridging Perspectives in AI – a new podcast from AAAI

Forthcoming machine learning and AI seminars: November 2025 edition

#ECAI2025 – social media round up

AIhub monthly digest: October 2025 – energy supply challenges, wearable sensors, and atomic-scale simulations

Winners of the #ECAI2025 outstanding paper awards announced

The great wildebeest migration, seen from space: satellites and AI are helping count Africa’s wildlife

New AI tool helps match enzymes to substrates

#AIES2025 social media round-up

Looking ahead to #ECAI2025

Congratulations to the #AIES2025 best paper award winners!

From the telegraph to AI, our communications systems have always had hidden environmental costs

What’s on the programme at #AIES2025?

Generative AI model maps how a new antibiotic targets gut bacteria

What’s coming up at #IROS2025?

Applying machine learning to chip design and manufacturing: interview with Lorenzo Servadei

Why we should be skeptical of the hasty global push to test 15-year-olds’ AI literacy in 2029

Machine learning for atomic-scale simulations: balancing speed and physical laws

Policy design for two-sided platforms with participation dynamics: interview with Haruka Kiyohara

The Machine Ethics podcast: What excites you about AI? Vol.2

Interview with Janice Anta Zebaze: using AI to address energy supply challenges

How does AI affect how we learn? A cognitive psychologist explains why you learn when the work is hard

Interview with Zahra Ghorrati: developing frameworks for human activity recognition using wearable sensors

Diffusion beats autoregressive in data-constrained settings

Forthcoming machine learning and AI seminars: October 2025 edition

AIhub monthly digest: September 2025 – conference reviewing, soccer ball detection, and memory traces

Botanical time machines: AI is unlocking a treasure trove of data held in herbarium collections

All creatures, great, small, and artificial

RoboCup Logistics League: an interview with Alexander Ferrein, Till Hofmann and Wataru Uemura

Data centers consume massive amounts of water – companies rarely tell the public exactly how much

Interview with Luc De Raedt: talking probabilistic logic, neurosymbolic AI, and explainability

Call for AAAI educational AI videos

Self-supervised learning for soccer ball detection and beyond: interview with winners of the RoboCup 2025 best paper award

How AI is opening the playbook on sports analytics

Discrete flow matching framework for graph generation

We risk a deluge of AI-written ‘science’ pushing corporate interests – here’s what to do about it

Deploying agentic AI: what worked, what broke, and what we learned

Memory traces in reinforcement learning

Apertus: a fully open, transparent, multilingual language model

Interview with Yezi Liu: Trustworthy and efficient machine learning

Advanced AI models are not always better than simple ones

The Machine Ethics podcast: Autonomy AI with Adir Ben-Yehuda

Using generative AI, researchers design compounds that can kill drug-resistant bacteria

#IJCAI2025 distinguished paper: Combining MORL with restraining bolts to learn normative behaviour

How the internet and its bots are sabotaging scientific research

#ICML2025 outstanding position paper: Interview with Jaeho Kim on addressing the problems with conference reviewing

Forthcoming machine learning and AI seminars: September 2025 edition

AIhub monthly digest: August 2025 – causality and generative modelling, responsible multimodal AI, and IJCAI in Montréal and Guangzhou

Interview with Benyamin Tabarsi: Computing education and generative AI

The value of prediction in identifying the worst-off: Interview with Unai Fischer Abaigar

#IJCAI2025 social media round-up: part two

AI helps chemists develop tougher plastics

RoboCup@Work League: Interview with Christoph Steup

Interview with Haimin Hu: Game-theoretic integration of safety, interaction and learning for human-centered autonomy

Congratulations to the #IJCAI2025 distinguished paper award winners

#IJCAI2025 social media round-up: part one

Forthcoming machine learning and AI seminars: August 2025 edition

AIhub coffee corner: Agentic AI

New research could block AI models learning from your online content

What’s coming up at #IJCAI2025?

Interview with Flávia Carvalhido: Responsible multimodal AI

Using AI to speed up landslide detection

IJCAI in Canada: 90-second pitches from the next generation of AI researchers

AI for the ancient world: how a new machine learning system can help make sense of Latin inscriptions

Smart microscope captures aggregation of misfolded proteins

Interview with Shaghayegh (Shirley) Shajarian: Applying generative AI to computer networks

How AI can help protect bees from dangerous parasites

The Machine Ethics podcast: AI Ethics, Risks and Safety Conference 2025