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News

Learning High-Level Representations for Agents - Prof. Yoshua Bengio

Septmeber 18, 2019 - Prof. Yoshua Bengio, Prof. University of Montreal, and Scientific Director, Mila, gave a Dertouzos Distinguished Lecture at CSAIL entitled 'Learning High-Level Representations for Agents'

News

Hot Topics in Computing: A Multi-Risk SIR Model with Optimally Targeted Lockdown - Prof. Daron Acemoglu

On June 9, 2020 Prof Daron Acemoglu presented a talk in the Hot Topics in Computing series entitled: A Multi-Risk SIR Model with Optimally Targeted Lockdown

News

Agents of creation - Artificial "agents" can model complex systems

News

AI assistant monitors teamwork to promote effective collaboration

An AI team coordinator aligns agents’ beliefs about how to achieve a task, intervening when necessary to potentially help with tasks in search and rescue, hospitals, and video games.

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A framework for solving parabolic partial differential equations

A new algorithm solves complicated partial differential equations by breaking them down into simpler problems, potentially guiding computer graphics and geometry processing.

News

Anticipating others’ behavior on the road

A new machine-learning system may someday help driverless cars predict the next moves of nearby drivers, cyclists, and pedestrians in real-time.

News

Smart glove teaches new physical skills

Adaptive smart glove from MIT CSAIL researchers can send tactile feedback to teach users new skills, guide robots with more precise manipulation, and help train surgeons and pilots.

News

Bridging philosophy and AI to explore computing ethics

In a new MIT course co-taught by EECS and philosophy professors, students tackle moral dilemmas of the digital age.

News

Model helps robots navigate more like humans do

In simulations, robots move through new environments by exploring, observing, and drawing from learned experiences.

News

3 Questions: Modeling adversarial intelligence to exploit AI’s security vulnerabilities

MIT CSAIL Principal Research Scientist Una-May O’Reilly discusses how she develops agents that reveal AI models’ security weaknesses before hackers do.
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MIT CSAIL

Massachusetts Institute of Technology

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