Podcasts | CSAIL Alliances

Monday, April 5, 2021

Keeping Software Free-form with CSAIL's Hal Abelson

Principal Investigator, MIT CSAIL, Creator, MIT App Inventor, Professor, MIT CSAIL

As one of the founding directors of the Free Software Foundation, CSAIL's Prof. Hal Abelson believes that free software empowers everyone to maintain the freedom to run, edit, contribute to, and share software, as well as see everything the software is doing.

Monday, March 1, 2021

Securing Computation with Yael Kalai

Yael Kalai

Adjunct Associate Professor, MIT CSAIL

Professor Yael Kalai of MIT CSAIL and Senior Principal Researcher at Microsoft Research New England is a cryptographer and theoretical computer scientist working on state-of-the-art ways of securing computation.

Monday, February 1, 2021

Designing and Using Virtuality to Better Serve Us

D. Fox Harrell

Professor, MIT CSAIL

Our new reality is increasingly one of virtuality. D. Fox Harrell, P.h.D., studies the relationship between computing and imagination for emerging forms of digital media, as well as their social and ethical impact.

Tuesday, January 12, 2021

Enabling Robots to Complete Tasks on a Human Level

Edward (Ted) Adelson

Professor, MIT CSAIL

If we want robots to assist us with everyday tasks, they’ll need to be able to manipulate objects on a human level. To do that, they need good fingers. Professor Ted Adelson of MIT CSAIL is developing robotic fingers that are sensitive and soft like human fingers, enabling robots to use their hands intelligently to accomplish chosen tasks.

Read more about Ted Adelson at: Alliances Researcher Spotlight.

Monday, November 30, 2020

Moore's Law Momentum with CSAIL's Saman Amarasinghe

Saman Amarasinghe

Principal Investigator, MIT CSAIL, Professor, MIT EECS

“If we want to keep the Moore’s Law momentum going in computing, we have to do something different,” says CSAIL Professor Saman Amarasinghe, whose work with compilers is making them faster, more reliable, and more efficient. He discusses using new technologies like machine learning and modern algorithms and solvers to optimize code and get the performance needed to keep up with the rapid changes happening in industry.