Designing customized “brains” for robots
Contemporary robots can move quickly. “The motors are fast, and they’re powerful,” says Sabrina Neuman. Yet in complex situations, like interactions with people, robots often don’t move quickly. “The...
View ArticleDesign progresses for MIT Schwarzman College of Computing building on Vassar...
Last fall, the MIT Stephen A. Schwarzman College of Computing embarked on a project to design and construct a new building on Vassar Street in Cambridge, at the former site of Building 44. Working with...
View Article“Liquid” machine-learning system adapts to changing conditions
MIT researchers have developed a type of neural network that learns on the job, not just during its training phase. These flexible algorithms, dubbed “liquid” networks, change their underlying...
View ArticleRobust artificial intelligence tools to predict future cancer
To catch cancer earlier, we need to predict who is going to get it in the future. The complex nature of forecasting risk has been bolstered by artificial intelligence (AI) tools, but the adoption of AI...
View ArticleExamining the world through signals and systems
There’s a mesmerizing video animation on YouTube of simulated, self-driving traffic streaming through a six-lane, four-way intersection. Dozens of cars flow through the streets, pausing, turning,...
View ArticleHow the brain helps us remember what we’ve seen
Ask anyone, from an NFL quarterback scanning the field for open receivers to an air traffic controller monitoring the positions of planes to a parent watching her kids run around at the park: We depend...
View ArticleA language learning system that pays attention — more efficiently than ever...
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...
View ArticleA machine-learning approach to finding treatment options for Covid-19
When the Covid-19 pandemic struck in early 2020, doctors and researchers rushed to find effective treatments. There was little time to spare. “Making new drugs takes forever,” says Caroline Uhler, a...
View ArticleRetrofitting MIT’s deep learning “boot camp” for the virtual world
Deep learning is advancing at lightning speed, and Alexander Amini ’17 and Ava Soleimany ’16 want to make sure they have your attention as they dive deep on the math behind the algorithms and the ways...
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Algorithm helps artificial intelligence systems dodge “adversarial” inputs
In a perfect world, what you see is what you get. If this were the case, the job of artificial intelligence systems would be refreshingly straightforward. Take collision avoidance systems in...
View ArticleUsing artificial intelligence to generate 3D holograms in real-time
Despite years of hype, virtual reality headsets have yet to topple TV or computer screens as the go-to devices for video viewing. One reason: VR can make users feel sick. Nausea and eye strain can...
View ArticleArtificial intelligence that more closely mimics the mind
For all the progress that’s been made in the field of artificial intelligence, the world’s most flexible, efficient information processor remains the human brain. Although we can quickly make decisions...
View ArticleFaster drug discovery through machine learning
Drugs can only work if they stick to their target proteins in the body. Assessing that stickiness is a key hurdle in the drug discovery and screening process. New research combining chemistry and...
View ArticleResearchers’ algorithm designs soft robots that sense
There are some tasks that traditional robots — the rigid and metallic kind — simply aren’t cut out for. Soft-bodied robots, on the other hand, may be able to interact with people more safely or slip...
View ArticleMore transparency and understanding into machine behaviors
Explaining, interpreting, and understanding the human mind presents a unique set of challenges. Doing the same for the behaviors of machines, meanwhile, is a whole other story. As artificial...
View Article3 Questions: Artificial intelligence for health care equity
The potential of artificial intelligence to bring equity in health care has spurred significant research efforts. Racial, gender, and socioeconomic disparities have traditionally afflicted health care...
View ArticleA robot that senses hidden objects
In recent years, robots have gained artificial vision, touch, and even smell. “Researchers have been giving robots human-like perception,” says MIT Associate Professor Fadel Adib. In a new paper,...
View ArticleToward deep-learning models that can reason about code more like humans
Whatever business a company may be in, software plays an increasingly vital role, from managing inventory to interfacing with customers. Software developers, as a result, are in greater demand than...
View ArticleNew AI tool calculates materials’ stress and strain based on photos
Isaac Newton may have met his match. For centuries, engineers have relied on physical laws — developed by Newton and others — to understand the stresses and strains on the materials they work with. But...
View ArticleQ&A: Vivienne Sze on crossing the hardware-software divide for efficient...
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 to...
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