Research

A new learning system developed by MIT researchers improves robots’ abilities to mold materials into target shapes and make predictions about interacting with solid objects and liquids. The system, known as a learning-based particle simulator, could give industrial robots a more refined touch — and it may have fun applications in personal robotics, such as modelling clay shapes or rolling sticky rice for sushi.

Algorand, an open-source software and blockchain technology company, announced today the opening of its TestNet to the public at large. After a successful private TestNet period with several hundred participants, the company is now inviting all businesses, developers and users to engage with TestNet and provide feedback on the quality, function, and overall experience of the TestNet protocol.

The winning team of researchers is a Dream Team of experts from Massachusetts Institute of Technology and the Boston University. It includes experts in neuroscience, robotics, computer science, computer vision, artificial intelligence, mathematical systems theory, and a host of other related advanced technology domains.

Counting search queries isn’t easy, but MIT CSAIL’s new LearnedSketch system for “frequency-estimation” aims to help.