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2026 June

AIhub monthly digest: June 2026 – biodiversity, resource allocation, and color metaphors

16 June 2026, by Ella Scallan

AAAI presidential panel – AI agents

15 June 2026, by Lucy Smith

Interview with AAAI Fellow Tanya Berger-Wolf: AI for ecology, biodiversity, and conservation

11 June 2026, by Lucy Smith

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

9 June 2026, by Ella Scallan

The Good Robot podcast: the battle over data centres with Tara Merk

8 June 2026, by The Good Robot Podcast

Congratulations to the #AAMAS2026 best paper award winners

5 June 2026, by Lucy Smith

Interview with AAAI Fellow Sanmay Das: multiagent systems

4 June 2026, by Lucy Smith

Design tweaks promote responsible AI use for environmental protection, research shows

3 June 2026, by Oregon State University

An AI solution to an 80‑year‑old problem has shocked mathematicians

2 June 2026, by The Conversation

Forthcoming machine learning and AI seminars: June 2026 edition

1 June 2026, by Lucy Smith

2026 May

Image Empire – a new short film from Alan Warburton

29 May 2026, by Lucy Smith

AIhub monthly digest: May 2026 – AI for science, the lottery ticket hypothesis, and world models

28 May 2026, by Lucy Smith

You probably wouldn’t notice if an AI chatbot slipped ads into its responses

27 May 2026, by The Conversation

The Good Robot podcast: the future of data centres and digital sovereignty with Friederike von Franqué

26 May 2026, by The Good Robot Podcast

AIhub coffee corner: World models

22 May 2026, by AIhub

Why the world’s banks are so worried about Anthropic’s latest AI model

21 May 2026, by The Conversation

Embracing empiricism – from the lottery hypothesis to creating real-world impact: an interview with Jonathan Frankle

20 May 2026, by Ella Scallan

A faster way to estimate AI power consumption

19 May 2026, by MIT News

Introducing ARFBench: A time series question-answering benchmark based on real incidents

18 May 2026, by ML@CMU

Does ‘federated unlearning’ in AI improve data privacy, or create a new cybersecurity risk?

15 May 2026, by The Conversation

Reflections from #AIES2025

14 May 2026, by Ella Scallan and Lucy Smith

Deep learning-powered biochip to detect genetic markers

13 May 2026, by Nanyang Technological University, Singapore

Half of AI health answers are wrong even though they sound convincing – new study

12 May 2026, by The Conversation

Gradient-based planning for world models at longer horizons

11 May 2026, by BAIR blog

It’s tempting to offload your thinking to AI. Cognitive science shows why that’s a bad idea

8 May 2026, by The Conversation

Making AI systems more transparent and trustworthy: an interview with Ximing Wen

7 May 2026, by Lucy Smith

Report on foundation model impacts released

6 May 2026, by Lucy Smith

Forthcoming machine learning and AI seminars: May 2026 edition

5 May 2026, by Lucy Smith

AI for Science – from cosmology to chemistry

1 May 2026, by Ella Scallan

2026 April

AIhub monthly digest: April 2026 – machine learning for particle physics, AI Index Report, and table tennis

30 April 2026, by Lucy Smith

The Machine Ethics podcast: organoid computing with Dr Ewelina Kurtys

29 April 2026, by The Machine Ethics Podcast

#AAAI2026 invited talk: Yolanda Gil on improving workflows with AI

28 April 2026, by Lucy Smith

Maryna Viazovska’s proofs of sphere packing formalized with AI

27 April 2026, by EPFL

Interview with Deepika Vemuri: interpretability and concept-based learning

24 April 2026, by Lucy Smith

As a ‘book scientist’ I work with microscopes, imaging technologies and AI to preserve ancient texts

23 April 2026, by The Conversation

Sony AI table tennis robot outplays elite human players

22 April 2026, by Lucy Smith

Causal models for decision systems: an interview with Matteo Ceriscioli

21 April 2026, by Lucy Smith

A model for defect identification in materials

20 April 2026, by MIT News

‘Probably’ doesn’t mean the same thing to your AI as it does to you

17 April 2026, by The Conversation

Interview with Xinwei Song: strategic interactions in networked multi-agent systems

16 April 2026, by Lucy Smith

2026 AI Index Report released

15 April 2026, by AIhub

Formal verification for safety evaluation of autonomous vehicles: an interview with Abdelrahman Sayed Sayed

14 April 2026, by Lucy Smith

Water flow in prairie watersheds is increasingly unpredictable — but AI could help

13 April 2026, by The Conversation

Identifying interactions at scale for LLMs

10 April 2026, by BAIR blog

Interview with Sukanya Mandal: Synthesizing multi-modal knowledge graphs for smart city intelligence

9 April 2026, by AIhub

Emergence of fragility in LLM-based social networks: an interview with Francesco Bertolotti

8 April 2026, by Ella Scallan

Scaling up multi-agent systems: an interview with Minghong Geng

7 April 2026, by Lucy Smith

Forthcoming machine learning and AI seminars: April 2026 edition

2 April 2026, by Lucy Smith

#AAAI2026 invited talk: machine learning for particle physics

1 April 2026, by Lucy Smith

2026 March

AIhub monthly digest: March 2026 – time series, multiplicity, and the history of RoboCup

31 March 2026, by Lucy Smith

What I’ve learned from 25 years of automated science, and what the future holds: an interview with Ross King

30 March 2026, by Ella Scallan

A multi-armed robot for assisting with agricultural tasks

27 March 2026, by Robohub and Lucy Smith

Resource-constrained image generation and visual understanding: an interview with Aniket Roy

26 March 2026, by Lucy Smith

RWDS Big Questions: how do we highlight the role of statistics in AI?

25 March 2026, by Real World Data Science

A history of RoboCup with Manuela Veloso

24 March 2026, by Lucy Smith

Information-driven design of imaging systems

23 March 2026, by BAIR blog

Machine learning framework to predict global imperilment status of freshwater fish

20 March 2026, by Oregon State University

Interview with AAAI Fellow Yan Liu: machine learning for time series

19 March 2026, by Lucy Smith

A principled approach for data bias mitigation

18 March 2026, by Bruno Scarone

An AI image generator for non-English speakers

17 March 2026, by University of Amsterdam

AI and Theory of Mind: an interview with Nitay Alon

16 March 2026, by Lucy Smith

AIhub coffee corner: AI, kids, and the future – “generation AI”

13 March 2026, by AIhub

AI chatbots can effectively sway voters – in either direction

12 March 2026, by Cornell University

Studying the properties of large language models: an interview with Maxime Meyer

11 March 2026, by Lucy Smith

What the Moltbook experiment is teaching us about AI

10 March 2026, by Pursuit, University of Melbourne

The malleable mind: context accumulation drives LLM’s belief drift

9 March 2026, by Jiayi Geng

RWDS Big Questions: how do we balance innovation and regulation in the world of AI?

6 March 2026, by Real World Data Science

Studying multiplicity: an interview with Prakhar Ganesh

5 March 2026, by Lucy Smith

Top AI ethics and policy issues of 2025 and what to expect in 2026

4 March 2026, by AI Matters, Larry Medsker and Ella Scallan

The greatest risk of AI in higher education isn’t cheating – it’s the erosion of learning itself

3 March 2026, by The Conversation

Forthcoming machine learning and AI seminars: March 2026 edition

2 March 2026, by Lucy Smith

2026 February

AIhub monthly digest: February 2026 – collective decision making, multi-modal learning, and governing the rise of interactive AI

27 February 2026, by Lucy Smith

The Good Robot podcast: the role of designers in AI ethics with Tomasz Hollanek

26 February 2026, by The Good Robot Podcast

Reinforcement learning applied to autonomous vehicles: an interview with Oliver Chang

25 February 2026, by Lucy Smith

The Machine Ethics podcast: moral agents with Jen Semler

24 February 2026, by The Machine Ethics Podcast

Extending the reward structure in reinforcement learning: an interview with Tanmay Ambadkar

23 February 2026, by Lucy Smith

The Good Robot podcast: what makes a drone “good”? with Beryl Pong

20 February 2026, by The Good Robot Podcast

Relational neurosymbolic Markov models

19 February 2026, by Lennert De Smet and Gabriele Venturato

AI enables a Who’s Who of brown bears in Alaska

18 February 2026, by EPFL

Learning to see the physical world: an interview with Jiajun Wu

17 February 2026, by AI Matters and Ella Scallan

3 Questions: Using AI to help Olympic skaters land a quint

16 February 2026, by MIT News

AAAI presidential panel – AI and sustainability

13 February 2026, by Lucy Smith

How can robots acquire skills through interactions with the physical world? An interview with Jiaheng Hu

12 February 2026, by Lucy Smith

From Visual Question Answering to multimodal learning: an interview with Aishwarya Agrawal

11 February 2026, by AI Matters and Ella Scallan

Governing the rise of interactive AI will require behavioral insights

10 February 2026, by Yulu Pi

AI is coming to Olympic judging: what makes it a game changer?

9 February 2026, by The Conversation

Sven Koenig wins the 2026 ACM/SIGAI Autonomous Agents Research Award

6 February 2026, by AIhub

Congratulations to the #AAAI2026 award winners

5 February 2026, by Lucy Smith

Forthcoming machine learning and AI seminars: February 2026 edition

4 February 2026, by Lucy Smith

#AAAI2026 social media round up: part 2

3 February 2026, by Lucy Smith

Interview with Zijian Zhao: Labor management in transportation gig systems through reinforcement learning

2 February 2026, by Lucy Smith

2026 January

AIhub monthly digest: January 2026 – moderating guardrails, humanoid soccer, and attending AAAI

30 January 2026, by Lucy Smith

The Machine Ethics podcast: 2025 wrap up with Lisa Talia Moretti & Ben Byford

29 January 2026, by The Machine Ethics Podcast

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

27 January 2026, by Liliane-Caroline Demers

#AAAI2026 social media round up: part 1

23 January 2026, by Lucy Smith

Congratulations to the #AAAI2026 outstanding paper award winners

22 January 2026, by Lucy Smith

3 Questions: How AI could optimize the power grid

21 January 2026, by MIT News

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

20 January 2026, by Lucy Smith

An introduction to science communication at #AAAI2026

19 January 2026, by Lucy Smith

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

16 January 2026, by Lucy Smith

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

15 January 2026, by Horizon

What’s coming up at #AAAI2026?

14 January 2026, by Lucy Smith

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

13 January 2026, by Lucy Smith

Robots to navigate hiking trails

12 January 2026, by Christopher Tatsch

AAAI presidential panel – AI reasoning

9 January 2026, by Lucy Smith

The Machine Ethics podcast: Companion AI with Giulia Trojano

8 January 2026, by The Machine Ethics Podcast

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

7 January 2026, by Lucile Dierckx, Alexandre Dubray and Siegfried Nijssen

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

6 January 2026, by The Conversation

Forthcoming machine learning and AI seminars: January 2026 edition

5 January 2026, by Lucy Smith

AAAI presidential panel – AI perception versus reality video discussion

2 January 2026, by Lucy Smith