MIT postdoc Giorgio Rizzo harnesses plant chemistry to design sustainable fertilizers that could reshape modern farming.

An algorithm can change the face of food assistance policy in the Global South, says MIT assistant professor and J-WAFS researcher Ali Aouad.

Acting as a “virtual spectrometer,” SpectroGen generates spectroscopic data in any modality, such as X-ray or infrared, to quickly assess a material’s quality.

The Rare Brain Disorders Nexus aims to accelerate the development of novel therapies for a spectrum of uncommon brain diseases.

Materials from ancient rocks could reveal conditions in the early solar system that shaped the early Earth and other planets.

The promoter editing system could be used to fine-tune gene therapy or to more efficiently reprogram cells for therapeutic use.

Speakers at MIT’s Aging Brain Initiative symposium described how immune system factors during aging contribute to Alzheimer’s, Parkinson’s and other conditions. The field is leveraging that knowledge to develop new therapies.

The MIT–MBZUAI Collaborative Research Program will unite faculty and students from both institutions to advance AI and accelerate its use in pressing scientific and societal challenges.

Proposed system would combine two kinds of plants, creating greater efficiency and lowering costs while curbing climate-changing emissions.

New tool from MIT CSAIL creates realistic virtual kitchens and living rooms where simulated robots can interact with models of real-world objects, scaling up training data for robot foundation models.

A new method turns down quantum noise that obscures the “ticking” of atoms, and could enable stable, transportable atomic clocks.

MIT researchers discovered a hidden atomic order that persists in metals even after extreme processing.

A new study identifies genetic modifications that make these immune cells, known as CAR-NK cells, more effective at destroying cancer cells.

The approach combines physics and machine learning to avoid damaging disruptions when powering down tokamak fusion machines.

Incorporating machine learning, MIT engineers developed a way to 3D print alloys that are much stronger than conventionally manufactured versions.

Brain imaging suggests people with musical training may be better than others at filtering out distracting sounds.

The new dyes are based on boron-containing molecules that were previously too unstable for practical use.

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.

MIT researchers developed a model that explains lithium intercalation rates in lithium-ion batteries.

The approach could enable autonomous vehicles, commercial aircraft, or transportation networks that are more reliable in the face of real-world unpredictability.