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AAAI2026
Interview with Deepika Vemuri: interpretability and concept-based learning
Lucy Smith
24 Apr 2026
Find out more about Deepika's research bridging the gap between data-driven models and symbolic learning.
Causal models for decision systems: an interview with Matteo Ceriscioli
Lucy Smith
21 Apr 2026
How can we integrate causal knowledge into agents or decision systems to make them more reliable?
Interview with Xinwei Song: strategic interactions in networked multi-agent systems
Lucy Smith
16 Apr 2026
Xinwei Song tells us about her research using algorithmic game theory and multi-agent reinforcement learning.
Formal verification for safety evaluation of autonomous vehicles: an interview with Abdelrahman Sayed Sayed
Lucy Smith
14 Apr 2026
Find out more about work at the intersection of continuous AI models, formal methods, and autonomous systems.
Scaling up multi-agent systems: an interview with Minghong Geng
Lucy Smith
07 Apr 2026
We sat down with Minghong in the latest of our interviews with the 2026 AAAI/SIGAI Doctoral Consortium participants.
#AAAI2026 invited talk: machine learning for particle physics
Lucy Smith
01 Apr 2026
How is ML used in the search for new particles at CERN?
Resource-constrained image generation and visual understanding: an interview with Aniket Roy
Lucy Smith
26 Mar 2026
Aniket tells us about his research exploring how modern generative models can be adapted to operate efficiently while maintaining strong performance.
Interview with AAAI Fellow Yan Liu: machine learning for time series
Lucy Smith
19 Mar 2026
Hear from 2026 AAAI Fellow Yan Liu about her research into time series, the associated applications, and the promise of physics-informed models.
AI and Theory of Mind: an interview with Nitay Alon
Lucy Smith
16 Mar 2026
Find out more about how Theory of Mind plays out in deceptive environments, multi-agents systems, the interdisciplinary nature of this field, when to use Theory of Mind, and when not to, and more.
Studying the properties of large language models: an interview with Maxime Meyer
Lucy Smith
11 Mar 2026
What happens when you increase the prompt length in a LLM? In the latest interview in our AAAI Doctoral Consortium series, we sat down with Maxime, a PhD student in Singapore.
Studying multiplicity: an interview with Prakhar Ganesh
Lucy Smith
05 Mar 2026
What is multiplicity, and what implications does it have for fairness, privacy and interpretability in real-world systems?
Reinforcement learning applied to autonomous vehicles: an interview with Oliver Chang
Lucy Smith
25 Feb 2026
In the third of our interviews with the 2026 AAAI Doctoral Consortium cohort, we hear from Oliver Chang.
Extending the reward structure in reinforcement learning: an interview with Tanmay Ambadkar
Lucy Smith
23 Feb 2026
Find out more about Tanmay's research on RL frameworks, the latest in our series meeting the AAAI Doctoral Consortium participants.
Relational neurosymbolic Markov models
Lennert De Smet and Gabriele Venturato
19 Feb 2026
Relational neurosymbolic Markov models make deep sequential models logically consistent, intervenable and generalisable
Congratulations to the #AAAI2026 award winners
Lucy Smith
05 Feb 2026
Find out who has won the prestigious 2026 awards for their contributions to the field.
#AAAI2026 social media round up: part 2
Lucy Smith
03 Feb 2026
Catch up on the action from the second half of the conference.
Interview with Zijian Zhao: Labor management in transportation gig systems through reinforcement learning
Lucy Smith
02 Feb 2026
In the second of our interviews with the 2026 AAAI Doctoral Consortium cohort, we hear from Zijian Zhao.
#AAAI2026 social media round up: part 1
Lucy Smith
23 Jan 2026
Find out what participants have been getting up to during the first few of days at the conference
Congratulations to the #AAAI2026 outstanding paper award winners
Lucy Smith
22 Jan 2026
Find out who has won these prestigious awards at AAAI this year.
Interview with Xiang Fang: Multi-modal learning and embodied intelligence
Lucy Smith
20 Jan 2026
In the first of our new series of interviews featuring the AAAI Doctoral Consortium participants, we hear from Xiang Fang.
An introduction to science communication at #AAAI2026
Lucy Smith
19 Jan 2026
Find out more about our session on Wednesday 21 January.
What’s coming up at #AAAI2026?
Lucy Smith
14 Jan 2026
Find out what's on the programme at the annual AAAI Conference on Artificial Intelligence.
