Adam Zewe
Adam Zewe, MIT News Office
Articles
Machine-learning framework speeds predictions for material thermal properties
MIT researchers have developed a machine-learning framework designed to help engineers design more efficient energy-conversion systems and faster microelectronic devices, reducing waste heat.
Using large language models to help robots navigate
Researchers developed a method that uses language-based inputs instead of costly visual data to direct a robot through a multistep navigation task.
Controlling shape-shifting soft robots effectively
An algorithm learns to squish, bend, or stretch a robot’s entire body to accomplish diverse tasks like avoiding obstacles or retrieving items.
Qubit array tuned for better quantum computing results
The advance developed by MIT scientists offers a way to characterize a fundamental resource needed for quantum computing.
Computer chip safeguards smart phone user data while enabling efficiency
Researchers have developed a security solution for power-hungry AI models that offers protection against two common attacks.
Algorithm helps robots navigate efficiently in uncertain environments
A new algorithm reduces travel time by identifying shortcuts a robot could take on the way to its destination.
Peripheral vision in AI models has been enhanced
By enabling AI models to see the world more like humans do, the work could help improve driver safety and shed light on human behavior.
2D magnetic materials harnessed for energy-efficient computing
MIT researchers precisely controlled an ultrathin magnet at room temperature, which could enable faster, more efficient computers.
Tamper-proof ID tag can authenticate almost anything
MIT engineers developed a tag that can reveal with near-perfect accuracy whether an item is real or fake.
Technique could enhance quantum sensing device sensitivity
MIT researchers have developed a method that helps identify and control larger numbers of atomic-scale defects, to build a bigger system of qubits.