Ai gif oshi no ko. 1 day ago · AI system learns from many types of scientific information and runs experiments to discover new materials The new “CRESt” platform could help find solutions to real-world energy problems that have plagued the materials science and engineering community for decades. Their method combines probabilistic AI models with the programming language SQL to provide faster and more accurate results than other methods. The new tool uses an autoregressive model to quickly capture the big picture and then a small diffusion model to refine the details of the image. 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. Mar 21, 2025 · A hybrid AI approach known as hybrid autoregressive transformer can generate realistic images with the same or better quality than state-of-the-art diffusion models, but that runs about nine times faster and uses fewer computational resources. Aug 14, 2025 · Using generative AI algorithms, the research team designed more than 36 million possible compounds and computationally screened them for antimicrobial properties. Jan 17, 2025 · MIT News explores the environmental and sustainability implications of generative AI technologies and applications. September 7, 2025 Read full story. 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. Feb 3, 2025 · The MIT Generative AI Impact Consortium is a collaboration between MIT, founding member companies, and researchers across disciplines who aim to develop open-source generative AI solutions, accelerating innovations in education, research, and industry. 3ayh uo lbc6 ldq2 hgktn5q bykxf zr0 kb ygzhiu 84nikd