Automating the search for entirely new “curiosity” algorithms
Researchers show that computers can “write” algorithms that adapt to radically different environments better than algorithms designed by humans.
Reducing the carbon footprint of artificial intelligence
MIT system cuts the energy required for training and running neural networks.
Annual Women in Data Science conference discusses fake news
WiDS Cambridge, co-hosted by the Institute for Data, Systems, and Society, recognizes and empowers women in STEM across a variety of disciplines.
Deploying more conversational chatbots
Startup Posh has created chatbots that use “conversational memory” to have more natural exchanges.
Model quantifies the impact of quarantine measures on Covid-19’s spread
A machine learning algorithm combines data on the disease's spread with a neural network, to help predict when infections will slow down in each country.
Reducing delays in wireless networks
Congestion control system could help streaming video, mobile games, and other applications run more smoothly.
Accelerating data-driven discoveries
Life science companies use Paradigm4’s unique database management system to uncover new insights into human health.
Q&A: Markus Buehler on setting coronavirus and AI-inspired proteins to music
Translated into sound, SARS-CoV-2 tricks our ear in the same way the virus tricks our cells.
Neural networks facilitate optimization in the search for new materials
Sorting through millions of possibilities, a search for battery materials delivered results in five weeks instead of 50 years.
“Inactive” pill ingredients could raise the dose of your medication
With help from artificial intelligence, researchers identify hidden power of vitamin A and ordinary chewing gum glaze.
Deep learning for mechanical property evaluation
New technique allows for more precise measurements of deformation characteristics using nanoindentation tools.
The elephant in the server room
Catherine D’Ignazio’s new book, “Data Feminism,” examines problems of bias and power that beset modern information.
“Doing machine learning the right way”
Professor Aleksander Madry strives to build machine-learning models that are more reliable, understandable, and robust.
Showing robots how to do your chores
By observing humans, robots learn to perform complex tasks, such as setting a table.
A new model of vision
Computer model of face processing could reveal how the brain produces richly detailed visual representations so quickly.