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Proportional aggregation of preferences for sequential decision making

Read about work that won an outstanding paper award at AAAI 2024.
27 August 2024, by and

AIhub coffee corner: how do you solve a problem like conference reviewing?

The AIhub coffee corner captures the musings of AI experts over a short conversation.
22 August 2024, by

Interview with AAAI Fellow Anima Anandkumar: Neural Operators for science and engineering problems

Anima tells us about her work on Neural Operators and their application in different scientific domains.
20 August 2024, by

AIhub monthly digest: July 2024 – attending RoboCup, real-world simulators, and AI and cognitive science

Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
30 July 2024, by

Interview with Yuan Yang: working at the intersection of AI and cognitive science

We hear from AAAI/SIGAI doctoral consortium participant Yuan Yang.
02 July 2024, by

Learning programs with numerical reasoning

Introducing a novel approach to efficiently learning programs with numerical values
13 June 2024, by



Tweet round-up from #ICWSM24

Find out what participants got up to at the International Conference on Web and Social Media
10 June 2024, by

Interview with AAAI Fellow Mausam: talking information extraction, mentorship, and creativity

We spoke to Professor Mausam about his research, career path, and being selected as a 2024 AAAI Fellow.
06 June 2024, by

Interview with Sukanya Mandal: Developing a cognitive digital twin framework for smart cities

We meet AAAI/SIGAI doctoral consortium participant Sukanya and find out about her PhD studies.
09 May 2024, by

AIhub coffee corner: Responsible and trustworthy AI

The AIhub coffee corner captures the musings of AI experts over a short conversation.
07 May 2024, by

Interview with Salena Torres Ashton: causality and natural language

We spoke to Salena about her research, the AAAI experience, and her career path from professional genealogist and historian to machine learning PhD student.
02 May 2024, by

AIhub coffee corner: Open vs closed science

The AIhub coffee corner captures the musings of AI experts over a short conversation.
26 April 2024, by

Interview with Mike Lee: Communicating AI decision-making through demonstrations

We hear from AAAI/SIGAI Doctoral Consortium participant Mike Lee about his research on explainable AI.
23 April 2024, by

Interview with Bálint Gyevnár: Creating explanations for AI-based decision-making systems

PhD student and AAAI/SIGAI Doctoral Consortium participant tells us about his research.
16 April 2024, by

#AAAI2024 workshops round-up 4: eXplainable AI approaches for deep reinforcement learning, and responsible language models

We hear from the organisers of two workshops at AAAI2024 and find out the key takeaways from their events.
12 April 2024, by

Is compute the binding constraint on AI research? Interview with Rebecca Gelles and Ronnie Kinoshita

We hear from authors of work presented at AAAI 2024 studying access to compute and the impact this has on AI research and researchers.
10 April 2024, by

The moderating effect of instant runoff voting

Providing mathematical backing for the argument that IRV favors moderate candidates in a way that plurality doesn’t.
04 April 2024, by

Interview with Francesca Rossi – talking sustainable development goals, AI regulation, and AI ethics

“AI used to be a scientific and technical field, now it has become a socio-technical discipline"
28 March 2024, by

Interview with Amine Barrak: serverless computing and machine learning

PhD student, and AAAI/SIGAI Doctoral Consortium participant, Amine tells us about his research.
26 March 2024, by

Interview with Raffaele Galliera: Deep reinforcement learning for communication networks

PhD student, and AAAI/SIGAI Doctoral Consortium participant, Raffaele tells us about his research.
20 March 2024, by

#AAAI2024 workshops round-up 3: human-centric representation learning, and AI to accelerate science and engineering

We hear from the organisers of two workshops at AAAI2024 and find out the key takeaways from their events.
18 March 2024, by

Interview with Aaquib Tabrez: explainability and human-robot interaction

PhD student, and AAAI/SIGAI Doctoral Consortium participant, Aaquib tells us about his research so far.
14 March 2024, by

#AAAI2024 workshops round-up 2: AI for credible elections, and are large language models simply causal parrots?

We hear from the organisers of two workshops at AAAI2024 and find out the key takeaways from their events.
12 March 2024, by

#AAAI2024 workshops round-up 1: Cooperative multi-agent systems decision-making and learning

Read a summary of the cooperative multi-agent systems workshop which took place at AAAI 2024 in February.
06 March 2024, by

#AAAI2024 invited talk: Milind Tambe – using ML for social good

Winner of the 2024 AAAI Award for Artificial Intelligence for the Benefit of Humanity, Milind spoke about recent projects.
01 March 2024, by

#AAAI2024 in tweets: part two

Find out what the conference participants got up to during the second half of the event.
28 February 2024, by

Congratulations to the #AAAI2024 outstanding paper winners

The winners of the outstanding papers were announced at the conference during the opening ceremony.
26 February 2024, by

#AAAI2024 in tweets: part one

Find out what the conference participants have been up to over the past few days.
23 February 2024, by

Congratulations to the #AAAI2024 award winners

Find out who has won the prestigious 2024 awards for their contributions to the field.
22 February 2024, by

How to speak to the public about AI – a Michael Wooldridge talk at #AAAI2024 today

Attend Michael Wooldridge's talk at AAAI today (2-3pm) to find out more about how to communicate about AI
21 February 2024, by






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