“Superhero” robot wears different outfits for different tasks
Shape-shifting device from CSAIL can walk, roll, sail, and glide using recyclable exoskeletons.
Robots and Artificial Intelligence
As per professor Andrew machine learning is a revolution in history of man kind first one was where machines came and took our basic jobs to make us faster and our life easy. Now to me this second one is coming to make us lazy and heavily dependent. T…
New leadership for MIT-IBM Watson AI Lab
Computer vision and machine learning expert Antonio Torralba to lead new artificial intelligence research lab.
Blockchain a Succinct Fintech
Blockchain to transform financial services. Disruptive technologies transform traditional industries. The future computing will have extraordinary capabilities with expected factoring of a 3,000 digit number (40 power to 10) faster than today
The Engine announces investments in first group of startups
New venture launched by MIT will support “tough-tech” companies at work on transformative ideas that take time to commercialize.
Identifying optimal product prices
New research describes a price-optimization method to increase online retailers’ revenue, market share, and profit.
Learning to Model Other Minds
We’re releasing an algorithm which accounts for the fact that other agents are learning too, and discovers self-interested yet collaborative strategies like tit-for-tat in the iterated prisoner’s dilemma. This algorithm, Learning with Opponent-Learning Awareness (LOLA), is a small step towards agents that model other minds.
LOLA, a collaboration
Learning to Model Other Minds
We’re releasing an algorithm which accounts for the fact that other agents are learning too, and discovers self-interested yet collaborative strategies like tit-for-tat in the iterated prisoner’s dilemma. This algorithm, Learning with Opponent-Learning Awareness (LOLA), is a small step towards agents that model other minds.
LOLA, a collaboration
3 Questions: Iyad Rahwan on the “psychological roadblocks” facing self-driving cars
MIT Media Lab professor considers the trust gap between people and autonomous vehicles.
How neural networks think
General-purpose technique sheds light on inner workings of neural nets trained to process language.