ΑΙhub.org
Reflections from #AIES2025
Ella Scallan and Lucy Smith
14 May 2026
We reflect on AIES 2025, outlining a discussion session on LLMs for clinical usage and human rights.
Making AI systems more transparent and trustworthy: an interview with Ximing Wen
Lucy Smith
07 May 2026
Find out more about Ximing's work, experience as a research intern, and what inspired her to study AI.
A faster way to estimate AI power consumption
MIT News
19 May 2026
The “EnergAIzer” method generates reliable results in seconds, enabling data center operators to efficiently allocate resources and reduce wasted energy.
Introducing ARFBench: A time series question-answering benchmark based on real incidents
ML@CMU
18 May 2026
To resolve system failures, engineers must troubleshoot outages quickly.
Does ‘federated unlearning’ in AI improve data privacy, or create a new cybersecurity risk?
The Conversation
15 May 2026
As the capacity of AI systems increases apace, so do concerns about the privacy of user data.
Deep learning-powered biochip to detect genetic markers
Nanyang Technological University, Singapore
13 May 2026
System can detect extremely small amounts of microRNAs, genetic markers linked to diseases such as heart disease.
Half of AI health answers are wrong even though they sound convincing – new study
The Conversation
12 May 2026
Imagine you have just been diagnosed with early-stage cancer and, before your next appointment, you type a question into an AI chatbot.
Gradient-based planning for world models at longer horizons
BAIR blog
11 May 2026
What were the problems that motivated this project and what was the approach to address them?
It’s tempting to offload your thinking to AI. Cognitive science shows why that’s a bad idea
The Conversation
08 May 2026
Increased offloading to new tools has raised the fear that people will become overly reliant on AI.
Report on foundation model impacts released
Lucy Smith
06 May 2026
Partnership on AI publish a progress report on post-deployment governance practices.
Forthcoming machine learning and AI seminars: May 2026 edition
Lucy Smith
05 May 2026
A list of free-to-attend AI-related seminars that are scheduled to take place between 5 May and 30 June 2026.
AI for Science – from cosmology to chemistry
Ella Scallan
01 May 2026
How AI is transforming science, from a day conference at the Royal Society
monthly digest
AIhub monthly digest: April 2026 – machine learning for particle physics, AI Index Report, and table tennis
Lucy Smith
30 Apr 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
The Machine Ethics podcast: organoid computing with Dr Ewelina Kurtys
The Machine Ethics Podcast
29 Apr 2026
In this episode, Ben chats to Ewelina about the uses of organoids and energy saving computing, differences between biological neurons and digital neural networks, and much more.
#AAAI2026 invited talk: Yolanda Gil on improving workflows with AI
Lucy Smith
28 Apr 2026
Former AAAI president on using AI to help communities of scientists better streamline their research.
Maryna Viazovska’s proofs of sphere packing formalized with AI
EPFL
27 Apr 2026
Formalization achieved through a collaboration between mathematicians and artificial intelligence tools.
Interview with Deepika Vemuri: interpretability and concept-based learning
Lucy Smith
24 Apr 2026
Find out more about Deepika's research bridging the gap between data-driven models and symbolic learning.
As a ‘book scientist’ I work with microscopes, imaging technologies and AI to preserve ancient texts
The Conversation
23 Apr 2026
Using an array of technologies to recover, understand and preserve many valuable ancient texts.
Sony AI table tennis robot outplays elite human players
Lucy Smith
22 Apr 2026
New robot and AI system has beaten professional and elite table tennis players.
Causal models for decision systems: an interview with Matteo Ceriscioli
Lucy Smith
21 Apr 2026
How can we integrate causal knowledge into agents or decision systems to make them more reliable?
A model for defect identification in materials
MIT News
20 Apr 2026
A new model measures defects that can be leveraged to improve materials’ mechanical strength, heat transfer, and energy-conversion efficiency.
‘Probably’ doesn’t mean the same thing to your AI as it does to you
The Conversation
17 Apr 2026
Are you sure you and the AI chatbot you’re using are on the same page about probabilities?
Interview with Xinwei Song: strategic interactions in networked multi-agent systems
Lucy Smith
16 Apr 2026
Xinwei Song tells us about her research using algorithmic game theory and multi-agent reinforcement learning.
2026 AI Index Report released
AIhub
15 Apr 2026
Find out what the ninth edition of the report, which was published on 13 April, says about trends in AI.
Formal verification for safety evaluation of autonomous vehicles: an interview with Abdelrahman Sayed Sayed
Lucy Smith
14 Apr 2026
Find out more about work at the intersection of continuous AI models, formal methods, and autonomous systems.
Water flow in prairie watersheds is increasingly unpredictable — but AI could help
The Conversation
13 Apr 2026
In recent years, the Prairies have seen bigger swings in climate conditions — very wet years followed by very dry ones.
Identifying interactions at scale for LLMs
BAIR blog
10 Apr 2026
Model behavior is rarely the result of isolated components; rather, it emerges from complex dependencies and patterns.
Interview with Sukanya Mandal: Synthesizing multi-modal knowledge graphs for smart city intelligence
AIhub
09 Apr 2026
A modular four-stage framework that draws on LLMs to automate synthetic multi-modal knowledge graphs.
Emergence of fragility in LLM-based social networks: an interview with Francesco Bertolotti
Ella Scallan
08 Apr 2026
Francesco tells us how LLMs behave in the social network Moltbook, and what this reveals about network dynamics.
Scaling up multi-agent systems: an interview with Minghong Geng
Lucy Smith
07 Apr 2026
We sat down with Minghong in the latest of our interviews with the 2026 AAAI/SIGAI Doctoral Consortium participants.
Forthcoming machine learning and AI seminars: April 2026 edition
Lucy Smith
02 Apr 2026
A list of free-to-attend AI-related seminars that are scheduled to take place between 2 April and 31 May 2026.
