Ai safety wikipedia. Jan 17, 2025 · MIT News explores the environmental and sustainability implications of generative AI technologies and applications. 3 days ago · AI maps how a new antibiotic targets gut bacteria MIT CSAIL and McMaster researchers used a generative AI model to reveal how a narrow-spectrum antibiotic attacks disease-causing bacteria, speeding up a process that normally takes years. Apr 23, 2025 · After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, MIT researchers organized them into a “periodic table of machine learning” that can help scientists combine elements of different methods to improve algorithms or create new ones. Dec 2, 2024 · Researchers developed a fully integrated photonic processor that can perform all the key computations of a deep neural network on a photonic chip, using light. . 17. The top candidates they discovered are structurally distinct from any existing antibiotics, and they appear to work by novel mechanisms that disrupt bacterial cell membranes. Their method combines probabilistic AI models with the programming language SQL to provide faster and more accurate results than other methods. Sep 25, 2025 · MIT researchers developed an interactive, AI-based system that enables users to rapidly annotate areas of interest in new biomedical imaging datasets, without training a machine-learning model in advance. 3 days ago · AI maps how a new antibiotic targets gut bacteria MIT CSAIL and McMaster researchers used a generative AI model to reveal how a narrow-spectrum antibiotic attacks disease-causing bacteria, speeding up a process that normally takes years. As the user uploads new images, the number of interactions needed to accurately segment the image drops, eventually to zero, enabling rapid annotation of the entire dataset. Mar 18, 2025 · Ben Vinson III, president of Howard University, made a compelling call for AI to be “developed with wisdom,” as he delivered MIT’s annual Karl Taylor Compton Lecture. Aug 14, 2025 · Using generative AI algorithms, the research team designed more than 36 million possible compounds and computationally screened them for antimicrobial properties. Sep 19, 2025 · Hundreds of scientists, business leaders, faculty, and students shared the latest research and discussed the potential future course of generative AI advancements during the inaugural symposium of the MIT Generative AI Impact Consortium (MGAIC) on Sept. Jul 8, 2024 · Researchers from MIT and elsewhere developed an easy-to-use tool that enables someone to perform complicated statistical analyses on tabular data using just a few keystrokes. This advance could improve the speed and energy-efficiency of running intensive deep learning models for applications like lidar, astronomical research, and navigation. Sep 30, 2025 · MIT experts discuss strategies and innovations aimed at mitigating the amount of greenhouse gas emissions generated by the training, deployment, and use of AI systems, in the second in a two-part series on the environmental impacts of generative artificial intelligence. Nov 9, 2023 · What do people mean when they say “generative AI,” and why are these systems finding their way into practically every application imaginable? MIT AI experts help break down the ins and outs of this increasingly popular, and ubiquitous, technology. ru euxb ay dfhe ji7 vyee d3phu 1qjv d1nz 3dlbcuf