ΑΙhub.org
AAAI
Interview with Amine Barrak: serverless computing and machine learning
Lucy Smith
26 Mar 2024
PhD student, and AAAI/SIGAI Doctoral Consortium participant, Amine tells us about his research.
Interview with Raffaele Galliera: Deep reinforcement learning for communication networks
Lucy Smith
20 Mar 2024
PhD student, and AAAI/SIGAI Doctoral Consortium participant, Raffaele tells us about his research.
#AAAI2024 workshops round-up 3: human-centric representation learning, and AI to accelerate science and engineering
AIhub
18 Mar 2024
We hear from the organisers of two workshops at AAAI2024 and find out the key takeaways from their events.
Interview with Aaquib Tabrez: explainability and human-robot interaction
Lucy Smith
14 Mar 2024
PhD student, and AAAI/SIGAI Doctoral Consortium participant, Aaquib tells us about his research so far.
#AAAI2024 workshops round-up 2: AI for credible elections, and are large language models simply causal parrots?
AIhub
12 Mar 2024
We hear from the organisers of two workshops at AAAI2024 and find out the key takeaways from their events.
#AAAI2024 workshops round-up 1: Cooperative multi-agent systems decision-making and learning
Qin Yang
06 Mar 2024
Read a summary of the cooperative multi-agent systems workshop which took place at AAAI 2024 in February.
#AAAI2024 invited talk: Milind Tambe – using ML for social good
Lucy Smith
01 Mar 2024
Winner of the 2024 AAAI Award for Artificial Intelligence for the Benefit of Humanity, Milind spoke about recent projects.
#AAAI2024 in tweets: part two
Lucy Smith
28 Feb 2024
Find out what the conference participants got up to during the second half of the event.
Congratulations to the #AAAI2024 outstanding paper winners
Lucy Smith
26 Feb 2024
The winners of the outstanding papers were announced at the conference during the opening ceremony.
#AAAI2024 in tweets: part one
Lucy Smith
23 Feb 2024
Find out what the conference participants have been up to over the past few days.
Congratulations to the #AAAI2024 award winners
Lucy Smith
22 Feb 2024
Find out who has won the prestigious 2024 awards for their contributions to the field.
How to speak to the public about AI – a Michael Wooldridge talk at #AAAI2024 today
Lucy Smith
21 Feb 2024
Attend Michael Wooldridge's talk at AAAI today (2-3pm) to find out more about how to communicate about AI
Interview with Célian Ringwald: Natural language processing and knowledge graphs
Lucy Smith
20 Feb 2024
PhD student, and AAAI/SIGAI Doctoral Consortium participant, Célian tells us about his research so far.
What’s coming up at #AAAI2024?
Lucy Smith
15 Feb 2024
Find out what's on the programme at AAAI, due to take place in Vancouver next week.
Interview with Elizabeth Ondula: Applied reinforcement learning
Lucy Smith
13 Feb 2024
We spoke to Elizabeth Ondula about her work applying reinforcement learning in different domains.
Interview with Fiona Anting Tan: Researching causal relations in text
Lucy Smith
01 Feb 2024
In the second of our series of interviews with AAAI/SIGAI Doctoral Consortium participants, we hear from Fiona Anting Tan, PhD student at the National University of Singapore.
monthly digest
AIhub monthly digest: January 2024 – closed-loop robot planning, crowdsourced clustering, and trustworthiness in GPT models
Lucy Smith
30 Jan 2024
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
Crowdsourced clustering via active querying
Find out more about crowdsourcing clustering, work which was presented at HCOMP 2023.
Interview with Changhoon Kim – enhancing the reliability of image generative AI
Lucy Smith
11 Jan 2024
In the first of our series of interviews with AAAI/SIGAI Doctoral Consortium participants, we hear from Changhoon Kim, PhD student at Arizona State University.
Generating physically-consistent local-scale climate change projections
Jose González-Abad
09 Jan 2024
Find out more about work presented at the AAAI 2023 Fall Symposium.
Agent Teaming in Mixed-Motive Situations – an AAAI Fall symposium
Suresh Kumaar Jayaraman
08 Jan 2024
Read some of the highlights of this symposium from one of the organisers.
Assured and Trustworthy Human-centered AI – an AAAI Fall symposium
Read some of the highlights from the Assured and Trustworthy Human-centered AI symposium.
An approach for automatically determining the possible actions in computer game states
Sasha Volokh
17 Nov 2023
Thoroughly testing video game software by hand is difficult. AI agents that can automatically explore different game functionalities are a promising alternative.
Utilizing generative adversarial networks for stable structure generation in Angry Birds
Matthew Stephenson and Frederic Abraham
07 Nov 2023
An approach for generating stable structures in the popular physics-based puzzle game.
coffee corner
AIhub coffee corner: Regulation of AI
AIhub
01 Nov 2023
The AIhub coffee corner captures the musings of AI experts over a short conversation.
AAAI Fall Symposium: Patrícia Alves-Oliveira on human-robot interaction design
Lucy Smith
27 Oct 2023
We summarise the first keynote from the symposium on artificial intelligence for human-robot interaction.
Code to Joy: Why Everyone Should Learn a Little Programming – Interview with Michael Littman
Lucy Smith
24 Oct 2023
"A deeper knowledge of computing can be very empowering, and I wanted to bring that to a larger audience."
Proceedings from #AIES2023 now available
Lucy Smith
01 Sep 2023
You can read all of the contributions to the AAAI/ACM conference on Artificial Intelligence, Ethics and Society.
#AIES2023 – panel discussion on large language models
Lucy Smith
18 Aug 2023
Roxana Daneshjou, Atoosa Kasirzadeh, Kate Larson and Gary Marchant discuss the hype, hopes and harms of LLMs.
#AIES2023 tweet round-up
Lucy Smith
14 Aug 2023
Find out what participants got up to at the conference on Artificial Intelligence, Ethics, and Society.
Understanding the impact of misspecification in inverse reinforcement learning
Joar Skalse and Alessandro Abate
04 May 2023
Our work provides a framework for reasoning about the question of misspecification in inverse reinforcement learning.
Back to the future: towards a reasoning and learning architecture for ad hoc teamwork
Hasra Dodampegama
25 Apr 2023
Our architecture formulates ad hoc teamwork as a joint reasoning and learning problem.
#AAAI2023 workshops round-up 3: Reinforcement learning ready for production
AIhub
13 Apr 2023
The organisers of the AAAI2023 workshop on RL for production tell us their key takeaways from their event.
#AAAI2023 workshops round-up 2: health intelligence and privacy-preserving AI
AIhub
21 Mar 2023
The organisers of two of the AAAI2023 workshops tell us their key takeaways from their respective events.
#AAAI2023 invited talk: Isabelle Augenstein on modelling information change in scientific communication
Lucy Smith
14 Mar 2023
Isabelle spoke about using natural language processing to address problems in science communication.
#AAAI2023 workshops round-up 1: AI for credible elections, and responsible human-centric AI
AIhub
01 Mar 2023
The organisers of two of the AAAI2023 workshops tell us their key takeaways from their respective events.
