Q&A: On the future of human-centered robotics
Professor David Mindell, who researches the interaction between automation and human behavior, discusses the interdependence of people, robots, and infrastructure.
Teaching robots to teach other robots
CSAIL approach allows robots to learn a wider range of tasks using some basic knowledge and a single demo.
Eric Schmidt visits MIT to discuss computing, artificial intelligence, and the future of technology
Former Google CEO, now chairman of parent company Alphabet, speaks to students as part of fireside chat with CSAIL Director Daniela Rus.
Artificial Intelligence in Agriculture – The Challenges
Hypothetically, it is possible for machines to learn to solve any problem
on earth relating to the physical interaction of all things within a
defined or contained environment…by using artificial intelligence and
machine learning.
Artificial Intelligence in Formula 1 Strategy – Part 2/2
In this article I look at how Formula 1 teams can go about getting advanced
AI to work in favour of making better strategy decisions.
Artificial Intelligence in Formula 1 Strategy – Part 1/2
A look at how artificial intelligence could reduce human error in strategy
decisions made on the Formula 1 pit wall and back at team HQ.
Explained: Neural networks
Ballyhooed artificial-intelligence technique known as “deep learning” revives 70-year-old idea.
Looking ahead to the future of computer-driven cars
Amnon Shashua PhD ’93, co-founder of Mobileye, discusses challenges associated with autonomous vehicles in MIT visit.
Artificial Intelligence in Healthcare
Deep Learning for Identifying Metastatic Breast Cancer (Dayong Wang et al., 2017)Artificial Intelligence and Machine Learning is revolutionizing the healthcare industry. Here’s what you need to know.Machine Learning is a growing and diverse field of Ar…