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

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 learn about AI for science, delve into world models, research transparent and trustworthy AI, and hear about the lottery ticket hypothesis. Making AI systems more […]

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Panda and tiger reading

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

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

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 delved into the history of RoboCup, learned about time series, studied multiplicity, and found out more about Theory of Mind. Manuela Veloso on the history

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

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 explore multi-agent systems and collective decision-making, dive into neurosymbolic Markov models, and find out how robots can acquire skills through interactions with the physical world.

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

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 find out about a robot to navigate hiking trails, learn from logical constraints, analyse the effectiveness of moderation guardrails, and travel to Singapore to attend

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Panda and tiger reading

AIhub monthly digest: December 2025 – studying bias in AI-based recruitment tools, an image dataset for ethical AI benchmarking, and end of year compilations

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 look into bias in AI-based recruitment tools, find out about a new image dataset for ethical AI benchmarking, dig into human-robot interactions and social robotics,

AIhub monthly digest: December 2025 – studying bias in AI-based recruitment tools, an image dataset for ethical AI benchmarking, and end of year compilations Read More »

AIhub monthly digest: November 2025 – learning robust controllers, trust in multi-agent systems, and a new fairness evaluation dataset

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 learn about rewarding explainability in drug repurposing with knowledge graphs, investigate value-aligned autonomous vehicles, and consider trust in multi-agent systems. Rewarding explainability in drug repurposing

AIhub monthly digest: November 2025 – learning robust controllers, trust in multi-agent systems, and a new fairness evaluation dataset Read More »

AIhub monthly digest: October 2025 – energy supply challenges, wearable sensors, and atomic-scale simulations

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 attend AIES and ECAI, learn about policy design for two-sided platforms, discover how to balance speed and physical laws in atomic-scale simulations, and find out

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