MIT engineers develop a magnetic transistor for more energy-efficient electronics
A new device concept opens the door to compact, high-performance transistors with built-in memory.
A new device concept opens the door to compact, high-performance transistors with built-in memory.
The collaboration has led to new fuels and a variety of other projects to enable clean, safe nuclear energy.
Department of Mathematics researchers David Roe and Andrew Sutherland seek to advance automated theorem proving; four additional MIT alumni also awarded.
With SCIGEN, researchers can steer AI models to create materials with exotic properties for applications like quantum computing.
At the inaugural MIT Generative AI Impact Consortium Symposium, researchers and business leaders discussed potential advancements centered on this powerful technology.
Chemotherapy-induced injury of organ tissue causes inflammation that awakens dormant cancer cells, which may cause new tumors to form.
If a new proposal by MIT physicists bears out, the recent detection of a record-setting neutrino could be the first evidence of elusive Hawking radiation.
MIT researchers have dramatically lowered the error rate of prime editing, a technique that holds potential for treating many genetic disorders.
As the Norman C. Rasmussen Adjunct Professor, George Tynan is looking forward to addressing the big physics and engineering challenges of fusion plasmas.
How does one access and conduct research in one of the world’s harshest and most demanding environments? Lincoln Laboratory undersea systems engineer David Whelihan explains.
New findings could provide a way to monitor batteries for sounds that could guide manufacturing, indicate remaining usable life, or flag potential safety issues.
MIT-IBM Watson AI Lab researchers have developed a universal guide for estimating how large language models will perform based on smaller models in the same family.
Based on mini “lab-quakes” in a controlled setting, the findings could help researchers assess the vulnerability of quake-prone regions.
MIT CSAIL researchers developed a tool that can model the shape and movements of fetuses in 3D, potentially assisting doctors in finding abnormalities and making diagnoses.
Advance from SMART will help to better identify disease markers and develop targeted therapies and personalized treatment for diseases such as cancer and antibiotic-resistant infection.