ΑΙhub.org
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.
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?
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.
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.
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.
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?
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.
#AAAI2026 invited talk: machine learning for particle physics
Lucy Smith
01 Apr 2026
How is ML used in the search for new particles at CERN?
monthly digest
AIhub monthly digest: March 2026 – time series, multiplicity, and the history of RoboCup
Lucy Smith
31 Mar 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
What I’ve learned from 25 years of automated science, and what the future holds: an interview with Ross King
Ella Scallan
30 Mar 2026
We launch our new series with a conversation with Ross King - a pioneer in the field of AI-enabled scientific discovery.
A multi-armed robot for assisting with agricultural tasks
Robohub and Lucy Smith
27 Mar 2026
How can a robot safely manipulate branches to reveal hidden flowers while remaining aware of interaction forces and minimizing damage?
Resource-constrained image generation and visual understanding: an interview with Aniket Roy
Lucy Smith
26 Mar 2026
Aniket tells us about his research exploring how modern generative models can be adapted to operate efficiently while maintaining strong performance.
RWDS Big Questions: how do we highlight the role of statistics in AI?
Real World Data Science
25 Mar 2026
Next in our series, the panel explores the statistical underpinning of AI.
A history of RoboCup with Manuela Veloso
Lucy Smith
24 Mar 2026
Find out how RoboCup got started and how the competition has evolved, from one of the co-founders.
Information-driven design of imaging systems
BAIR blog
23 Mar 2026
Framework that enables direct evaluation and optimization of imaging systems based on their information content.
Machine learning framework to predict global imperilment status of freshwater fish
Oregon State University
20 Mar 2026
“With our model, decision makers can deploy resources in advance before a species becomes imperiled.”
Interview with AAAI Fellow Yan Liu: machine learning for time series
Lucy Smith
19 Mar 2026
Hear from 2026 AAAI Fellow Yan Liu about her research into time series, the associated applications, and the promise of physics-informed models.
A principled approach for data bias mitigation
Bruno Scarone
18 Mar 2026
Find out more about work presented at AIES 2025 which proposes a new way to measure data bias, along with a mitigation algorithm with mathematical guarantees.
An AI image generator for non-English speakers
University of Amsterdam
17 Mar 2026
"Translations lose the nuances of language and culture, because many words lack good English equivalents."
AI and Theory of Mind: an interview with Nitay Alon
Lucy Smith
16 Mar 2026
Find out more about how Theory of Mind plays out in deceptive environments, multi-agents systems, the interdisciplinary nature of this field, when to use Theory of Mind, and when not to, and more.
