ABOUT THIS FEED
AI Hub (aihub.org) is a nonprofit initiative designed to connect the AI research community and make cutting-edge knowledge accessible to wider audiences. Its RSS feed aggregates curated articles, interviews, event summaries, and research updates from across the AI ecosystem. The focus is on community engagement: highlighting work from researchers, promoting open collaboration, and sharing insights into AI’s role in academia, policy, and society. Unlike fast-paced news feeds, AI Hub emphasizes depth, context, and inclusivity, featuring content from global contributors. With several posts each day, it ensures that readers are exposed to diverse voices and emerging trends. This feed is particularly valuable for academics, policymakers, and AI enthusiasts who want a comprehensive, community-driven perspective on artificial intelligence beyond just commercial applications.
- AI for Science – from cosmology to chemistry
Image credits: NASA and The Hubble Heritage Team (STScI/AURA); Acknowledgment: Ray A. Lucas (STScI/AURA). On the 31st March, our editorial team headed to the Royal Society for AI for Science. This day-long conference explored how AI is changing the nature of scientific discovery, and was hosted by the Fundamental Research team from the Alan Turing
- AIhub monthly digest: April 2026 – machine learning for particle physics, AI Index Report, and table tennis
Welcome to our monthly digest, where you can catch up with any AIhub stories you may have missed, peruse the latest news, recap recent events, and more. This month, we meet PhD students and early-career researchers, find out how machine learning is used for particle physics discoveries, cast an eye over the latest AI Index
- The Machine Ethics podcast: organoid computing with Dr Ewelina Kurtys
Hosted by Ben Byford, The Machine Ethics Podcast brings together interviews with academics, authors, business leaders, designers and engineers on the subject of autonomous algorithms, artificial intelligence, machine learning, and technology’s impact on society. Organoid computing with Dr Ewelina Kurtys This month Ben chats with Dr Ewelina Kurtys on the uses of organoids and energy
- #AAAI2026 invited talk: Yolanda Gil on improving workflows with AI
Jamillah Knowles & Digit / Pink Office / Licenced by CC-BY 4.0 Yolanda Gil is a professor at the University of Southern California, where she also serves as Senior Director for major strategic AI and data science initiatives. From 2018 – 2020, she was president of AAAI. In her invited talk at AAAI 2026, she
- Maryna Viazovska’s proofs of sphere packing formalized with AI
Maryna Viazovska. Credit: EPFL 2026. The proofs that earned EPFL professor Maryna Viazovska the Fields Medal in 2022 have reached a new milestone: their complete formalization by computer, achieved through a collaboration between mathematicians and artificial intelligence tools. In 2016, Maryna Viazovska solved the sphere packing problem in dimension 8, proving that the E₈ lattice
- Interview with Deepika Vemuri: interpretability and concept-based learning
The latest interview in our series with the AAAI/SIGAI Doctoral Consortium participants features Deepika Vemuri who is working on interpretability and concept-based learning. We found out more about the two aspects of concept-based models that she’s been researching. Could you tell us a bit about your PhD – where are you studying, and what is
- As a ‘book scientist’ I work with microscopes, imaging technologies and AI to preserve ancient texts
By Christina Dinh Nguyen, University of Toronto Cultural heritage is constantly under threat. In recent years, we’ve witnessed the destruction of museums, archives and libraries around the world — from wildfires in California to bombing in Gaza and wars in Ukraine and Iran. Meanwhile, book scientists are working tirelessly with an array of technologies —
- Sony AI table tennis robot outplays elite human players
Ace rotates its paddle as it prepares to return the ball back to its human opponent, Yamato Kawamata, during a match in December 2025. Credit: Sony AI. In an article published today in Nature, Sony AI introduce Ace, the first robot to beat elite human players in competitive physical sport. Although AI systems have shown
- Causal models for decision systems: an interview with Matteo Ceriscioli
How do you go about integrating causal knowledge into decision systems or agents? We sat down with Matteo Ceriscioli to find out about his research in this space. This interview is the latest in our series featuring the AAAI/SIGAI Doctoral Consortium participants. Could you start by telling us a bit about your PhD – where
- A model for defect identification in materials
By Zach Winn In biology, defects are generally bad. But in materials science, defects can be intentionally tuned to give materials useful new properties. Today, atomic-scale defects are carefully introduced during the manufacturing process of products like steel, semiconductors, and solar cells to help improve strength, control electrical conductivity, optimize performance, and more. But even