With AI, researchers predict the location of virtually any protein within a human cell
Trained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs.
Department of Energy (DoE)
User-friendly system can help developers build more efficient simulations and AI models
By automatically generating code that leverages two types of data redundancy, the system saves bandwidth, memory, and computation.
Toward video generative models of the molecular world
Starting with a single frame in a simulation, a new system uses generative AI to emulate the dynamics of molecules, connecting static molecular structures and developing blurry pictures into videos.
Ensuring a durable transition
Progress on the energy transition depends on collective action benefiting all stakeholders, agreed participants in MITEI’s annual research conference.
Extracting hydrogen from rocks
Iwnetim Abate aims to stimulate natural hydrogen production underground, potentially unearthing a new path to a cheap, carbon-free energy source.
Fast-tracking fusion energy’s arrival with AI and accessibility
MIT Plasma Science and Fusion Center will receive DoE support to improve access to fusion data and increase workforce diversity.
AI system can generate novel proteins that meet structural design targets
These tunable proteins could be used to create new materials with specific mechanical properties, like toughness or flexibility.