Grace Wahba awarded the 2025 International Prize in Statistics

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Grace Wahba. Photo by David Callan, 2025. The International Prize in Statistics Foundation has awarded Grace Wahba the 2025 prize for “her groundbreaking work on smoothing splines, which has transformed data analysis and machine learning”. Professor Wahba was among the earliest to pioneer the use of nonparametric regression modeling. Recent advances in computing and availability of large data sets have … Read More

Provably safe certification for machine learning models under adversarial attacks: Interview with Chen Feng

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In their work PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks presented at AAAI 2025, Chen Feng, Ziquan Liu, Zhuo Zhi, Ilija Bogunovic, Carsten Gerner-Beuerle, and Miguel Rodrigues developed a new way to certify the performance of machine learning models in the presence of adversarial attacks with population-level risk guarantees. Here, Chen tells us more about their … Read More

AI UK 2025 conference recordings now available to watch

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Hosted by The Alan Turing Institute, AI UK is a yearly event that brings together representatives from government, academia and industry to showcase data science and AI research and innovation in the UK. As in previous years, AI UK 2025 took place in-person and online, and was held over two days (17-18 March 2025). Recordings from many of the sessions … Read More

#AAAI2025 workshops round-up 2: Open-source AI for mainstream use, and federated learning for unbounded and intelligent decentralization

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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

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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

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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

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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

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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

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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