Images from the workshop: FLUID: Federated Learning for Unbounded and Intelligent Decentralization. Workshop chairs Marzia Canzaniello and Daniela Annunziata. In this series of articles, we’re publishing summaries with some of the key takeaways from a few of workshops held at the 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025). In this second round-up article, we hear from the organisers … Read More
Accelerating drug development with AI
Rens Dimmendaal & Banjong Raksaphakdee / Medicines (flipped) / Licenced by CC-BY 4.0 Developing new drugs to treat illnesses has typically been a slow and expensive process. However, a team of researchers at the University of Waterloo uses machine learning to speed up the development time. The Waterloo research team has created “Imagand,” a generative artificial intelligence model that assesses … Read More
ChatGPT’s Studio Ghibli-style images show its creative power – but raise new copyright problems
By Kai Riemer, University of Sydney and Sandra Peter, University of Sydney Social media has recently been flooded with images that look like they belong in a Studio Ghibli film. Selfies, family photos and even memes have been re-imagined with the soft pastel palette characteristic of the Japanese animation company founded by Hayao Miyazaki. This followed OpenAI’s latest update to … Read More
#AAAI2025 invited talk round-up 1: labour economics, and reasoning about spatial information
Yasmine Boudiaf & LOTI / Data Processing / Licenced by CC-BY 4.0 The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025) took place in Philadelphia from Tuesday 25 February to Tuesday 4 March 2025. The programme featured eight invited talks. In this post, we give a flavour of two of those talks, namely: Predicting Career Transitions and Estimating Wage … Read More
Everything you say to an Alexa speaker will now be sent to Amazon
By Kathy Reid, Australian National University Amazon has disabled two key privacy features in its Alexa smart speakers, in a push to introduce artificial intelligence-powered “agentic capabilities” and turn a profit from the popular devices. Starting from March 28, Alexa devices now send all audio recordings to the cloud for processing, and choosing not to save these recordings will disable … Read More
End-to-end data-driven weather prediction
Catherine Breslin & Tania Duarte / AI silicon clouds collage / Licenced by CC-BY 4.0 A new AI weather prediction system, developed by a team of researchers from the University of Cambridge, can deliver accurate forecasts which use less computing power than current AI and physics-based forecasting systems. The system, Aardvark Weather, has been supported by the Alan Turing Institute, … Read More
Interview with Joseph Marvin Imperial: aligning generative AI with technical standards
In this interview series, we’re meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. The Doctoral Consortium provides an opportunity for a group of PhD students to discuss and explore their research interests and career objectives in an interdisciplinary workshop together with a panel of established researchers. In the latest interview, we hear from … Read More
Forthcoming machine learning and AI seminars: April 2025 edition
This post contains a list of the AI-related seminars that are scheduled to take place between 1 April and 31 May 2025. All events detailed here are free and open for anyone to attend virtually. 1 April 2025 Lie-Poisson Neural Networks (LPNets): Data-Based Computing of Hamiltonian Systems Speaker: Vakhtang Poutkaradze (University of Alberta) Organised by: University of Minnesota Zoom registration … Read More
AI can be a powerful tool for scientists. But it can also fuel research misconduct
Nadia Piet & Archival Images of AI + AIxDESIGN / Model Collapse / Licenced by CC-BY 4.0 By Jon Whittle, CSIRO and Stefan Harrer, CSIRO In February this year, Google announced it was launching “a new AI system for scientists”. It said this system was a collaborative tool designed to help scientists “in creating novel hypotheses and research plans”. It’s … Read More
AIhub monthly digest: March 2025 – human-allied AI, differential privacy, and social media microtargeting
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’s digest includes four interviews. We hear from two newly-elected AAAI Fellows, and two researchers at the start of their careers, to find out about their different research areas – human-allied AI, … Read More