Auto Added by WPeMatico
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 […]
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
The Good Robot podcast: what makes a drone “good”? with Beryl Pong Read More »
Image Credit: Jiajun Wu, Yunzhi Zhang, Hong-Xing Yu, Joy Hsu, Jiayuan Mao. Discovering Hybrid World Representations with Co-Evolving Foundation Models. In Proceedings of the Annual AAAI Conference on Artificial Intelligence, Emerging Trends in AI (ETA) Track, 2026. In the latest issue of AI Matters, a publication of ACM SIGAI, Ella Scallan caught up with Jiajun
Learning to see the physical world: an interview with Jiajun Wu Read More »
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
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
The 40th AAAI Conference on Artificial Intelligence took place in Singapore from 20-27 January, the first time that the event has been held outside of North America. In our first social media round up we had a peak at the first half of the conference which hosted the tutorials, the bridge programme, and the doctoral
#AAAI2026 social media round up: part 2 Read More »
Each year, a small group of PhD students are chosen to participate in the AAAI/SIGAI Doctoral Consortium. This initiative provides an opportunity for the students to discuss and explore their research interests and career objectives in an interdisciplinary workshop together with a panel of established researchers. For the past couple of years, we’ve been meeting
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. 2025 wrap up with Lisa Talia Moretti & Ben Byford For our 2025 round up episode we’re again chatting with Lisa
The Machine Ethics podcast: 2025 wrap up with Lisa Talia Moretti & Ben Byford Read More »
What if AI were designed not only to optimize choices for individuals, but to help groups reach decisions together? At IJCAI 2025 in Montreal, I had the pleasure of speaking with Professor Kate Larson of the University of Waterloo, a leading expert in multi-agent systems whose research explores how AI can support collective decision-making. In
Interview with Kate Larson: Talking multi-agent systems and collective decision-making Read More »
The 40th AAAI Conference on Artificial Intelligence is currently taking place in Singapore, the first time that the event has been held outside of North America. The opening two days of the conference hosted the tutorials, the bridge programme, and the doctoral and undergraduate consortium, with the main conference – including the invited talks and
#AAAI2026 social media round up: part 1 Read More »
