News
Song Han selected as MIT Technology Review 35 Innovators Under 35
Working towards automating the design of AI algorithms.
Building the tools of the next manufacturing revolution
From industrializing 3-D printing to creating nanomaterials at scale, John Hart is reimagining the way things are made.
Chip design drastically reduces energy needed to compute with light
Simulations suggest photonic chip could run optical neural networks 10 million times more efficiently than its electrical counterparts.
Photos: MTL Graduation Reception 2019
June 7, 2019
MTL 2019 Spring Doctoral Dissertation Seminar (DDS) by Dr. Taehong Kwon
Dr. Hong presented his PhD thesis research on novel micro- and nano-fluidic devices for continuous biomanufacturing.
Vivienne Sze speaks at Machine learning, Automation, Robotics and Space (MARS) conference
Invite-only conference embraces vision of scientific discovery advancing a golden age of innovation.
View video here.
Improving security as artificial intelligence moves to smartphones
An MIT-IBM collaboration led by Song Han unveils a tool for making compressed deep learning models less vulnerable to attack.
Jesus del Alamo elected Fellow of the Materials Research Society
Citation notes contributions to III-V compound semiconductor transistors and sustained commitment to knowledge dissemination.
How slippery surfaces allow sticky pastes and gels to slide
Engineered surface treatment developed at MIT can reduce waste and improve efficiency in many processes.
Vivienne Sze wins Edgerton Faculty Award
Sze is recognized for technical innovation, educational excellence, and efforts to advance women and underrepresented minorities in her field.