3 Questions: Using AI to accelerate the discovery and design of therapeutic drugs

Professor James Collins discusses how collaboration has been central to his research into combining computational predictions with new experimental platforms.

MIT News 3 Questions: Using AI to accelerate the discovery and design of therapeutic drugs

AlphaGenome Deciphers Non-Coding DNA for Gene Regulation

When AlphaFold solved the protein-folding problem in 2020, it showed that artificial intelligence could crack one of biology’s deepest mysteries: how a string of amino acids folds itself into a working molecular machine.The team at Google DeepMind behind that Nobel Prize-winning platform then turned their lens from from the structure of proteins to how these molecules function in the body. Applying similar machine-learning methods, they first developed AlphaMissense, an AI tool for predicting which changes in protein structure are likely to cause disease. AlphaProteo, a system for designing proteins that bind to specific molecular targets, came next.Now the architects of the Alpha platform..

IEEE Spectrum > Artificial Intelligence

From guardrails to governance: A CEO’s guide for securing agentic systems

The previous article in this series, “Rules fail at the prompt, succeed at the boundary,” focused on the first AI-orchestrated espionage campaign and the failure of prompt-level control. This article is the prescription. The question every CEO is now getting from their board is some version of: What do we do about agent risk? Across…

MIT Technology Review From guardrails to governance: A CEO’s guide for securing agentic systems

How generative AI can help scientists synthesize complex materials

MIT researchers’ DiffSyn model offers recipes for synthesizing new materials, enabling faster experimentation and a shorter journey from hypothesis to use.

MIT News How generative AI can help scientists synthesize complex materials

Brain-like Computers Can Do Math, Too

Computer scientists often assume that the brain works by approximations, and therefore that computing hardware inspired by the brain won’t be as good at complex math as traditional hardware. Researchers at Sandia National Laboratories are pushing back against this premise. In a paper published in Nature Machine Intelligence last November, they show that neuromorphic hardware built by Intel can solve differential equations using one of the most important methods in scientific computing, the finite element method.Computing inspired by the brainNeuromorphic computing promises to be more energy efficient than conventional hardware, which uses densely packed electrical switches to add up signal..

IEEE Spectrum > Computing

Don’t Regulate AI Models. Regulate AI Use

At times, it can seem like efforts to regulate and rein in AI are everything, everywhere, all at once.China issued the first AI-specific regulations in 2021. The focus is squarely on providers and content governance, enforced through platform control and recordkeeping requirements. In Europe, the European Union AI Act dates to 2024, but the European Commission is already proposing updates and simplification.India charged its senior technical advisors with creating an AI governance system, which they released in November 2025.In the United States, the states are legislating and enforcing their own AI rules even as the federal government in 2025 moved to prevent state action and loosen the re..

IEEE Spectrum > Artificial Intelligence