Q&A: More-sustainable concrete with machine learning
MIT-IBM Watson AI Lab researchers aim to design concrete mixtures that use AI to shrink environmental footprint and cost, while recycling byproducts and increasing performance.
MIT-IBM Watson AI Lab researchers aim to design concrete mixtures that use AI to shrink environmental footprint and cost, while recycling byproducts and increasing performance.
Rigorous selection process for the prestigious fellowship took into account students’ outstanding track record of scientific achievement and inquiry, as well as contributions to the STEM community.
Lincoln Laboratory connects counter–human trafficking community in pursuit of technology to help investigate cases.
Language analysis reveals possible reinforcement of race- and income-based achievement gap.
Researchers train a model to reach human-level performance at recognizing abstract concepts in video.
MIT’s new system TextFooler can trick the types of natural-language-processing systems that Google uses to help power its search results, including audio for Google Home.
As natural language processing techniques improve, suggestions are getting speedier and more relevant.
Leader in machine learning and natural language processing takes on professorship established by veteran software entrepreneur Thomas Siebel.
Drew Houston ’05 chatted with student innovators and shared his latest projects.
Leader in human language technologies has been appointed the Delta Electronics Professor of Electrical Engineering and Computer Science.
Grammatical habits in written English reveal linguistic features of non-native speakers’ languages.
Systems that can convert written specifications into working code in a few narrow cases could be generalized to other tasks.
A new approach to algorithmically distinguishing words with multiple possible meanings could help find useful data in electronic medical records.
Cognitive scientists develop a new take on an old problem: why human language has so many words with multiple meanings.