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Posts by AIhub.org

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

aihub.org/2026/04/09/i...

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Scaling up multi-agent systems: an interview with Minghong Geng - ΑΙhub I work on multi-agent systems. The research problem I’m looking at is scaling up multi-agent systems. That could be to include more agents in the system or to apply the existing systems to larger-scale problems, for example, longer-horizon problems.

We sat down with Minghong Geng to discuss his research on multi-agent systems. This is the latest interview in our series featuring the @aaai.org / @acmsigai.bsky.social doctoral consortium participants

aihub.org/2026/04/07/s...

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

aihub.org/2026/04/08/e...

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

aihub.org/2026/04/07/s...

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Forthcoming machine learning and AI seminars: April 2026 edition - ΑΙhub

aihub.org/2026/04/02/f...

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

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

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#AAAI2026 invited talk: machine learning for particle physics - ΑΙhub

aihub.org/2026/04/01/a...

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A history of RoboCup with Manuela Veloso - ΑΙhub

A pleasure to sit down with Manuela Veloso to find out first-hand the history of RoboCup, and what’s next for the competition.

aihub.org/2026/03/24/a...

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

Our series featuring the @aaai.org doctoral consortium participants continues with this interview with Aniket Roy. Aniket told us about his research exploring how modern generative models can be adapted to operate efficiently while maintaining strong performance.

aihub.org/2026/03/26/r...

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A multi-armed robot for assisting with agricultural tasks - ΑΙhub

aihub.org/2026/03/27/a...

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Terry Winograd, Stanford University, winner of the 1971 IJCAI Computers and Thought Award, shares his latest thoughts on today’s AI developments in the panel with Lucy Suchman: www.youtube.com/watch?v=jz92...

📣 #Nominate now for IJCAI Awards 2026: www.ijcai.org/awards

#IJCAI2026 #ECAI2026

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

It was great to chat to Yan Liu about her research on time series, the associated applications, and the promise of physics-informed models. This interview is the latest in our series featuring the @aaai.org Fellows. Looking forward to the exciting developments to come!

aihub.org/2026/03/19/i...

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

aihub.org/2026/03/19/i...

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A principled approach for data bias mitigation - ΑΙhub

Bruno Scarone writes about work presented at #AIES2025 which proposes a new way to measure data bias, along with a mitigation algorithm with mathematical guarantees.

aihub.org/2026/03/18/a...

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

In our March AIhub coffee corner, @sanmayd.bsky.social, @tdietterich.bsky.social, @sabinehauert.bsky.social, Michael Littman and Ella Scallan discussed the impact of AI tools on young people and their education.

aihub.org/2026/03/13/a...

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AI and Theory of Mind: an interview with Nitay Alon - ΑΙhub

The latest interview in our @aaai.org / @acmsigai.bsky.social doctoral consortium series features @nitalon.bsky.social. We talked about how Theory of Mind plays out in deceptive environments, multi-agents systems, when to use Theory of Mind, and when not to, and more.

aihub.org/2026/03/16/a...

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

In this interview in our series featuring the @aaai.org / @acmsigai.bsky.social doctoral consortium participants, we spoke to Maxime Meyer about his work studying the theoretical foundations of large language models.
aihub.org/2026/03/11/s...

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#IJCAIawards The call for the IJCAI-26 Awards is open! Honouring the accomplishments at early, mid-career, and lifetime stages, #nominate now:
🏆Computers and Thought Award
🏆John McCarthy Award
🏆Research Excellence Award
📆Deadline: 15. April 2026
➡️ www.ijcai.org/awards

#IJCAI2026 #ECAI2026 #AI

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

aihub.org/2026/03/13/a...

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AI and Theory of Mind: an interview with Nitay Alon - ΑΙhub

aihub.org/2026/03/16/a...

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#Call for Nominations: IJCAI–ECAI 2026 Early Career Spotlights (ECS) 🎓Know an outstanding early-career AI researcher making impactful contributions? #Review eligibility and #Nominate by 📅 April 12, 2026: 2026.ijcai.org/early-career...

#IJCAI2026 #ECAI2026 #cfp #phdone

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#Call for Diversity & Inclusion Activities at IJCAI–ECAI 2026 🌍 Share your #idea to broaden participation in AI—whether it’s mentoring sessions, networking events, panels, outreach reports, or workshops.
📅 Deadline: May 15, 2026
2026.ijcai.org/di-activities/

#IJCAI2026 #ECAI2026

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

aihub.org/2026/03/11/s...

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The Mystical Art of Making Maths Sparkle: A Wizard's Guide to Statistical Sorcery - Better Images of AI Blog Berk Alkoç traces the emergence of this visual metaphor and unpacks the implications of using sparkles to represent AI. In his own 5 steps of statistical sorcery, Berk criticises the corporate narrati...

New on the Better Images of AI blog: The Mystical Art of Making Maths Sparkle: A Wizard’s Guide to Statistical Sorcery by Berk Alkoç (he/him)

👉🏽 You can read the blog post here: blog.betterimagesofai.org/the-mystical...

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

aihub.org/2026/02/11/f...

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Studying multiplicity: an interview with Prakhar Ganesh - ΑΙhub

It was great to chat to Prakhar Ganesh about his research on multiplicity. This interview is the latest in our series featuring the @aaai.org doctoral consortium participants
aihub.org/2026/03/05/s...

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

aihub.org/2026/02/25/r...

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

aihub.org/2026/02/27/a...

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