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

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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. Talking multi-agent systems and collective … Read More

Cardano (ADA) flashes technical reversal signals following Coinbase integration

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Coinbase has enabled ADA as collateral, boosting liquidity without selling. Inverse head-and-shoulders pattern hints at a potential bullish reversal. Whale accumulation strengthens confidence in ADA’s near-term outlook. After the recent surge from around $0.24, Cardano (ADA) has struggled around the $0.27–$0.28 range for several weeks now. However, recent developments and chart patterns signal a possible breakout. Coinbase integration boosts ADA … Read More

The Machine Ethics podcast: moral agents with Jen Semler

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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. Moral agents with Jen Semler This month, Ben met in-person with Jen Semler. They chatted about what AI is, philosopher and engineer collaborations, businesses working with … Read More

Extending the reward structure in reinforcement learning: an interview with Tanmay Ambadkar

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In this interview series, we’re meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. Tanmay Ambadkar is researching the reward structure in reinforcement learning, with the goal of providing generalizable solutions that can provide robust guarantees and are easily deployable. We caught up with Tanmay to find out more about his research, and in … Read More

The Good Robot podcast: what makes a drone “good”? with Beryl Pong

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Hosted by Eleanor Drage and Kerry McInerney, The Good Robot is a podcast which explores the many complex intersections between gender, feminism and technology. What makes a drone “good”? with Beryl Pong In this episode, we talk to Beryl Pong, UKRI Future Leaders Fellow at the University of Cambridge, where she leads the Centre for Drones and Culture. Beryl reflects … Read More

The Good Robot podcast: the role of designers in AI ethics with Tomasz Hollanek

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Hosted by Eleanor Drage and Kerry McInerney, The Good Robot is a podcast which explores the many complex intersections between gender, feminism and technology. The role of designers in AI ethics with Tomasz Hollanek In this episode, we talk to Tomasz Hollanek, researcher at the Leverhulme Centre for the Future of Intelligence at the University of Cambridge. Tomasz argues that … Read More

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

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In this interview series, we’re meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. We caught up with Oliver Chang whose research interests span deep reinforcement learning, autonomous vehicles, and explainable AI. We found out more about some of the projects he’s worked on so far, what drew him to the field, and what … Read More

AAAI presidential panel – AI and sustainability

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Lone Thomasky & Bits&Bäume / Digital Society Bell / Licenced by CC-BY 4.0 The Future of AI Research report, published in March 2025, aims to clearly identify the trajectory of AI research in a structured way. The report was led by outgoing AAAI President Francesca Rossi and covers 17 different AI topics. Members of the report team, and other selected … Read More

How can robots acquire skills through interactions with the physical world? An interview with Jiaheng Hu

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One of the key challenges in building robots for household or industrial settings is the need to master the control of high-degree-of-freedom systems such as mobile manipulators. Reinforcement learning has been a promising avenue for acquiring robot control policies, however, scaling to complex systems has proved tricky. In their work SLAC: Simulation-Pretrained Latent Action Space for Whole-Body Real-World RL, Jiaheng … Read More

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

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In the latest issue of AI Matters, a publication of ACM SIGAI, Ella Scallan caught up with Aishwarya Agrawal to find out more about her research, what most excites her about the future of AI, and advice for early career researchers. You were awarded an Honourable Mention for the 2019 AAAI / ACM SIGAI Doctoral Dissertation Award. What was the … Read More