Celebrating the 2026 MAS fellowship recipients and their outstanding contributions across the Lab.
“Powerful” method for studying evolution could help researchers understand how species developed specialized eyes
The AI-powered tool could inform the design of better sensors and cameras for robots or autonomous vehicles.
Tzofi was selected in the field of Artificial Intelligence and Machine Learning.
This technique could lead to safer autonomous vehicles, more efficient AR/VR headsets, or faster warehouse robots.
Tzofi Klinghoffer and Kushagra Tiwary are among the winners of the 2023 Qualcomm Innovation Fellowship for the North America Program.
We're so proud of everything you've accomplished here, and can't wait to see what you do next.
A new computer vision system turns any shiny object into a camera of sorts, enabling an observer to see around corners or beyond obstruction