Diffusion model predicts 3D genomic structures

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This image shows the three-dimensional genome structures of several chromosomes reported in a Dip-C study, which were used to train the new ChromoGen model. Credit: Courtesy of the researchers, edited by MIT News. By Anne Trafton Every cell in your body contains the same genetic sequence, yet each cell expresses only a subset of those genes. These cell-specific gene expression … Read More

Interview with Kunpeng Xu: Kernel representation learning for time series

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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 first of our interviews with … Read More

AIhub coffee corner: Bad practice in the publication world

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The AIhub coffee corner captures the musings of AI experts over a short conversation. This month we tackle the topic of bad practice in the sphere of publication. Joining the conversation this time are: Sanmay Das (Virginia Tech), Tom Dietterich (Oregon State University), Sabine Hauert (University of Bristol), and Sarit Kraus (Bar-Ilan University). Sabine Hauert: Today’s topic is bad practice … Read More

Explained: Generative AI’s environmental impact

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Fritzchens Fritz / Better Images of AI / GPU shot etched 5 / Licenced by CC-BY 4.0 By Adam Zewe In a two-part series, MIT News explores the environmental implications of generative AI. In this article, we look at why this technology is so resource-intensive. A second piece will investigate what experts are doing to reduce genAI’s carbon footprint and … Read More

Interview with Nisarg Shah: Understanding fairness in AI and machine learning

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During the 33rd International Joint Conference on Artificial Intelligence (IJCAI), held in Jeju, I had the opportunity to meet with one of the keynote speakers, and winner of the 2024 IJCAI Computers and Thought Award, Professor Nisarg Shah. I asked him about his research, the role of theory in machine learning research, fairness and safety guarantees, regulation, conference reviews, and … Read More

Stuart J. Russell wins 2025 AAAI Award for Artificial Intelligence for the Benefit of Humanity

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The AAAI Award for Artificial Intelligence for the Benefit of Humanity recognizes positive impacts of artificial intelligence to protect, enhance, and improve human life in meaningful ways with long-lived effects. The award is given annually at the conference for the Association for the Advancement of Artificial Intelligence (AAAI). This year, the AAAI Awards Committee has announced that the 2025 recipient … Read More

Forthcoming machine learning and AI seminars: February 2025 edition

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This post contains a list of the AI-related seminars that are scheduled to take place between 3 February and 31 March 2025. All events detailed here are free and open for anyone to attend virtually. 3 February 2025 Building Light Schrödinger Bridges Speaker: Alexander Korotin (Skoltech) Organised by: Vanderbilt University Join here. Concept bottleneck language models for protein design Speakers: … Read More

Hanna Barakat’s image collection & the paradoxes of depicting diversity in AI history

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Hanna Barakat & Cambridge Diversity Fund / Better Images of AI / Shadow Work– Decrypting Bletchley Park’s Codebreakers / Licenced by CC-BY 4.0 As part of a collaboration between Better Images of AI and Cambridge University’s Diversity Fund, Hanna Barakat was commissioned to create a digital collage series to depict diverse images about the learning and education of AI at … Read More

A deep learning pipeline for controlling protein interactions

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One of the LPDI’s de novo protein binders (red) bound to the protein Bcl2 (blue) in complex with FDA-approved drug Venetoclax (beige) © LPDI EPFL By Celia Luterbacher In 2023, scientists in the joint School of Engineering and School of Life Sciences Laboratory of Protein Design and Immunoengineering (LPDI), led by Bruno Correia, published a deep-learning pipeline for designing new … Read More