Paving the way for generalised systems with more effective and efficient AI Starting this weekend, the thirty-ninth International Conference on Machine Learning (ICML 2022) is meeting from 17-23 July, 2022 at the Baltimore Convention Center in Maryland, USA, and will be running as a hybrid event. Researchers working across artificial intelligence, data science, machine vision,…

Over the last few years, autoregressive Transformers have brought a steady stream of breakthroughs in generative modeling. These models generate each element of a sample – the pixels of an image, the characters of a text (typically in “token” chunks), the samples of an audio waveform, and so on – by predicting one element after…

We recently caught up with Petar Veličković, a research scientist at DeepMind. Along with his co-authors, Petar is presenting his paper The CLRS Algorithmic Reasoning Benchmark at ICML 2022 in Baltimore, Maryland, USA. My journey to DeepMind... Throughout my undergraduate courses at the University of Cambridge, the inability to skilfully play the game of Go…

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AlphaFold unlocks a decade of data within minutes that can help beat antibiotic resistance Most people who have access to a modern healthcare system would not consider a disease like bubonic plague to be a threat. Such bacterial infections are usually dealt with easily through modern antibiotics. Yet antibiotic resistance, where bacteria evolve the ability…

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Researchers are on a quest to develop enzymes that can break down plastics so they can be 100% recycled The world produces about 400 million tonnes of plastic waste each year. Much of it ends up in landfills, and a significant portion is polluting the world’s oceans. Yet even when plastic is recycled, the process…

With the help of AlphaFold, researchers are designing more effective drugs like never before Karen Akinsanya is President of R&D, Therapeutics, at Schrödinger in New York City. She shares her AlphaFold story. What has always captivated me is the idea that you can go from the bench to the bedside. I have worked in academia…