AAAI

Auto Added by WPeMatico

Panda and tiger reading

AIhub monthly digest: July 2026 – time-series anomaly detection, music generation, and RoboCup in action

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 find out about time-series anomaly detection, delve into music generation, honour award winners, and catch up on the action from the RoboCup humanoid soccer league. […]

AIhub monthly digest: July 2026 – time-series anomaly detection, music generation, and RoboCup in action Read More »

A row of knowledge workers operate sewing machines producing piles of spreadsheets and reports

AAAI presidential panel – AI and scientific integrity

Leo Lau & Digit / Knowledge Sweatshop / 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

AAAI presidential panel – AI and scientific integrity Read More »

This image shows a pixelated room, it looks like a typical bedroom or office. Most of it is heavily pixelated, but a shelf, table and plant, windows and clock can be recognised. These are all outlined in yellow boxes.

AAAI presidential panel – factuality and trustworthiness

Elise Racine / Morning View / 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

AAAI presidential panel – factuality and trustworthiness Read More »

Interview with Thi Kieu Khanh Ho: Time-series anomaly detection

The latest interview in our series with the AAAI/SIGAI Doctoral Consortium participants features Thi Kieu Khanh Ho who is studying time-series anomaly detection. We found out more about her research, and what inspired her to study AI, and what she plans to work on next. Tell us a bit about your PhD — where are

Interview with Thi Kieu Khanh Ho: Time-series anomaly detection Read More »

Interview with AAAI Fellow Tanya Berger-Wolf: AI for ecology, biodiversity, and conservation

Each year the AAAI recognizes a group of individuals who have made significant, sustained contributions to the field of artificial intelligence by appointing them as Fellows. Over the course of the next few months, we’ll be talking to some of the 2026 AAAI Fellows. In this interview, we met with Tanya Berger-Wolf, who was elected

Interview with AAAI Fellow Tanya Berger-Wolf: AI for ecology, biodiversity, and conservation Read More »

Interview with AAAI Fellow Sanmay Das: multiagent systems

Each year the AAAI recognizes a group of individuals who have made significant, sustained contributions to the field of artificial intelligence by appointing them as Fellows. We’re talking to some of the 2026 AAAI Fellows to find out more about their work. In this interview, we chat to Sanmay Das, who was elected as a

Interview with AAAI Fellow Sanmay Das: multiagent systems Read More »

Panda and tiger reading

AIhub monthly digest: May 2026 – AI for science, the lottery ticket hypothesis, and world models

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 learn about AI for science, delve into world models, research transparent and trustworthy AI, and hear about the lottery ticket hypothesis. Making AI systems more

AIhub monthly digest: May 2026 – AI for science, the lottery ticket hypothesis, and world models Read More »

Making AI systems more transparent and trustworthy: an interview with Ximing Wen

The latest interview in our series with the AAAI/SIGAI Doctoral Consortium participants features Ximing Wen who is researching transparent and trustworthy AI systems. We found out more about her work, her experience as a research intern, and what inspired her to study AI. Tell us a bit about your PhD – where are you studying,

Making AI systems more transparent and trustworthy: an interview with Ximing Wen Read More »

Panda and tiger reading

AIhub monthly digest: April 2026 – machine learning for particle physics, AI Index Report, and table tennis

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 meet PhD students and early-career researchers, find out how machine learning is used for particle physics discoveries, cast an eye over the latest AI Index

AIhub monthly digest: April 2026 – machine learning for particle physics, AI Index Report, and table tennis Read More »