New technique applied to small computer chips enables efficient vision and detection algorithms without internet connectivity. Machine learning provides powerful tools to researchers to identify and predict patterns and behaviors, as well as learn, optimize, and perform tasks. This ranges from applications like vision systems on autonomous vehicles or social robots to smart thermostats …
In a first, the digital fiber contains memory, temperature sensors, and a trained neural network program for inferring physical activity. MIT researchers have created the first fiber with digital capabilities, able to sense, store, analyze, and infer activity after being sewn into a shirt. Yoel Fink, who is a professor in the departments of …
Benton Calhoun SM ’02 PhD ’06 and David Wentzloff SM ’02 PhD ’07 are co-founders of Everactive, which uses wireless sensing to provide continuous remote monitoring for the industrial internet of things. When Ben Calhoun and Dave Wentzloff co-founded Everactive in 2012, analysts and tech companies were forecasting a massive increase in the number …
Her research focuses on more-efficient deep neural networks to process video, and more-efficient hardware to run applications. Not so long ago, watching a movie on a smartphone seemed impossible. Vivienne Sze was a graduate student at MIT at the time, in the mid 2000s, and she was drawn to the challenge of compressing video …
MIT researchers’ new hardware and software system streamlines state-of-the-art sentence analysis. Human language can be inefficient. Some words are vital. Others, expendable. Reread the first sentence of this story. Just two words, “language” and “inefficient,” convey almost the entire meaning of the sentence. The importance of key words underlies a popular new tool for …
A language learning system that pays attention — more efficiently than ever before Read More »
A smart thermostat quickly learns to optimize building microclimates for both energy consumption and user preference. Buildings account for about 40 percent of U.S. energy consumption, and are responsible for one-third of global carbon dioxide emissions. Making buildings more energy-efficient is not only a cost-saving measure, but a crucial climate change mitigation strategy. Hence …
Advance could enable artificial intelligence on household appliances while enhancing data security and energy efficiency. Deep learning is everywhere. This branch of artificial intelligence curates your social media and serves your Google search results. Soon, deep learning could also check your vitals or set your thermostat. MIT researchers have developed a system that could …
System brings deep learning to “internet of things” devices Read More »
Everactive provides an industrial “internet of things” platform built on its battery-free sensors. Many analysts have predicted an explosion in the number of industrial “internet of things” (IoT) devices that will come online over the next decade. Sensors play a big role in those forecasts. Unfortunately, sensors come with their own drawbacks, many of …
The factory of the future, batteries not included Read More »
A modern-day Renaissance man, Hawley pioneered the internet of things, won the Van Cliburn amateur piano competition, and published the world’s largest book. Michael Hawley, a former MIT professor who was recognized globally as a modern-day Renaissance man, died on Wednesday, June 24, at his home in Cambridge, Massachusetts, after battling a long illness. …
Michael Hawley, former professor of media arts and sciences, dies at 58 Read More »
MIT CSAIL researchers say improving computing technology after Moore’s Law will require more efficient software, new algorithms, and specialized hardware. In 1965, Intel co-founder Gordon Moore predicted that the number of transistors that could fit on a computer chip would grow exponentially — and they did, doubling about every two years. For half a …
If transistors can’t get smaller, then coders have to get smarter Read More »
