Labs that can’t afford expensive super-resolution microscopes could use a new expansion technique to image nanoscale structures inside cells.

By using a 3D printer like an iron, researchers can precisely control the color, shade, and texture of fabricated objects, using only one material.

Collaborative multi-university team will pursue new AI-enhanced design tools and high-throughput testing methods for next-generation turbomachinery.

A new study of bubbles on electrode surfaces could help improve the efficiency of electrochemical processes that produce fuels, chemicals, and materials.

Because it doesn’t need expensive energy storage for times without sunshine, the technology could provide communities with drinking water at low costs.

Study reveals the drug, 5-fluorouracil, acts differently in different types of cancer — a finding that could help researchers design better drug combinations.

MIT CSAIL researchers created an AI-powered method for low-discrepancy sampling, which uniformly distributes data points to boost simulation accuracy.

The 2024 report highlights five years of global progress but uncovers gaps between companies’ sustainability goals and the investments required to achieve them.

New dataset of “illusory” faces reveals differences between human and algorithmic face detection, links to animal face recognition, and a formula predicting where people most often perceive faces.

A new method called Clio enables robots to quickly map a scene and identify the items they need to complete a given set of tasks.