Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
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Q&A: How AI Came to Model the “Messy” Human Mind
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
Satellite Data Reveal How Antarctica’s Ice Cliffs Behave Over Time
The cliffs don’t always collapse in the runaway process that scientists had expected.
The cliffs don’t always collapse in the runaway process that scientists had expected.
Researchers Improve Weather Forecasts Looking Two to Six Weeks Out
A new machine-learning approach broke records for weather forecasting for an important time frame in emergency planning.
A new machine-learning approach broke records for weather forecasting for an important time frame in emergency planning.
Q&A: The “Collision” Between AI, Your Brain, and Society
In a new book, Professor Eric So explores how the technology affects our thinking skills.
In a new book, Professor Eric So explores how the technology affects our thinking skills.
Exploring How Plants Thrive in a Changing Environment
Associate Professor David Des Marais studies how plants interact with their surroundings and adapt over time.
Associate Professor David Des Marais studies how plants interact with their surroundings and adapt over time.
How Artificial Neural Networks Build Their Own Learning Machinery
Machine-learning networks can learn without detailed instructions from a designer. Those that do may offer insight into how the brain reorganizes itself during learning.
Machine-learning networks can learn without detailed instructions from a designer. Those that do may offer insight into how the brain reorganizes itself during learning.
3 Questions: What Is the Best Path Forward for AI in Academia?
MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.
MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.
The Next Generation’s Guide to the New Space Economy
An industry report published by students in an MIT aerospace entrepreneurship class lays out guidance for aspiring space leaders and investors.
An industry report published by students in an MIT aerospace entrepreneurship class lays out guidance for aspiring space leaders and investors.
Who We Become When We Talk to Machines
Professor Sherry Turkle’s new book, “Artificial Intimacy,” offers a withering critique of chatbots and the antisocial dynamics she believes they encourage.
Professor Sherry Turkle’s new book, “Artificial Intimacy,” offers a withering critique of chatbots and the antisocial dynamics she believes they encourage.
Astronomers Catch a Star Slowly Snacking on a Brown Dwarf, 300 Light-Years Away
The discovery reveals a new way that stars and planetary companions can interact.
The discovery reveals a new way that stars and planetary companions can interact.
The Effects of an “Algorithmic Monoculture” Depend on the Details
In a study focusing on hiring decisions, MIT researchers found the use of a single algorithm by many firms could benefit job seekers in certain situations.
In a study focusing on hiring decisions, MIT researchers found the use of a single algorithm by many firms could benefit job seekers in certain situations.
The Promise and Peril of Using Visual AI to Study Cities
In their new book, “How AI Sees the City,” the leaders of MIT’s Senseable City Lab examine the technology’s implications for researching urban life.
In their new book, “How AI Sees the City,” the leaders of MIT’s Senseable City Lab examine the technology’s implications for researching urban life.
Estimating Suicide Risk From Text
A new language-processing tool could help identify the highest-risk individuals from natural language, enabling swifter interventions.
A new language-processing tool could help identify the highest-risk individuals from natural language, enabling swifter interventions.
How the Brain Keeps Its Options Straight at Decision Time
Making a decision requires juggling a set of options without getting them confused or losing track of them. A new MIT study shows how neurons encode information to maximize clarity throughout the process.
Making a decision requires juggling a set of options without getting them confused or losing track of them. A new MIT study shows how neurons encode information to maximize clarity throughout the process.
MIT Researchers Are Mapping Extreme Weather Risks — And Building Tools to Act on Them
The Climate Grand Challenges “New World of Weather” project shows how modeling, planning tools, and infrastructure analysis are translating research into real-world resilience.
The Climate Grand Challenges “New World of Weather” project shows how modeling, planning tools, and infrastructure analysis are translating research into real-world resilience.