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746 articles

Artificial intelligence that more closely mimics the mind

2021-03-12 news.mit.edu 2,543 artificialintelligence

Nara Logics, co-founded by MIT alumnus Nathan Wilson PhD ’05, is attempting to mimic the brain with an AI platform powered by an engine it calls Nara Logics Synaptic Intelligence.
An artificial intelligence tool that can help detect melanoma

2021-04-02 news.mit.edu 2,458 Healthtech

An artificial intelligence system can efficiently detect melanoma, a type of skin cancer. MIT researchers used deep convolutional neural networks (DCNNs) to quickly analyze wide-field photos of patients’ bodies.
Unlocking marine mysteries with artificial intelligence

2017-12-15 news.mit.edu 2,012 artificialintelligence

In MIT’s class 2.680 (Unmanned Marine Vehicle Autonomy, Sensing and Communications), students develop “intelligent” software that enables marine robots to explore the Charles River.
Gearing up for the internet of things

2017-11-27 news.mit.edu 1,405

MIT workshop brings together academia and industry to explore how to prepare next-generation 5G wireless for machine-to-machine communication within the internet of things.
Faster drug discovery through machine learning

2021-03-15 news.mit.edu 1,319 DrugDiscovery

MIT researchers have developed DeepBAR, a machine learning technique that quickly calculates drug molecules’ binding affinity with target proteins. The advance could accelerate drug discovery and protein engineering.
3 Questions: Artificial intelligence for health care equity

2021-03-23 news.mit.edu 1,275 artificialintelligence healthcare

MIT faculty members Regina Barzilay, Fotini Christia, and Collin Stultz describe how artificial intelligence and machine learning can support fairness, personalization, and inclusiveness in health care.
Translating lost languages using machine learning

2020-10-21 news.mit.edu 1,157 MachineLearning

MIT researchers have created a machine learning system that aims to help linguists decipher lost languages.
“Liquid” machine-learning system adapts to changing conditions

2021-01-28 news.mit.edu 1,080 MachineLearning autonomousdriving

MIT researchers developed a neural network that learns on the job, not just during training. The “liquid” network varies its equations’ parameters, enhancing its ability to analyze time series data. The advance could boost autonomous driving, medical diagnosis, and more.
Cracking open the black box of automated machine learning

2019-05-31 news.mit.edu 946 MachineLearning AutoML

ATMSeer is an interactive visualization tool for users to see and control algorithms and hyperparameters of machine-learning (AutoML) systems. The work was developed by researchers in the MIT Laboratory for Information and Decision Systems (LIDS), Hong Kong University of Science and Technology (HKUST), and Zhejiang University.
How neural networks think

2017-10-20 news.mit.edu 900

A general-purpose analytic technique devised by MIT researchers can reveal the inner workings of neural networks trained to perform natural-language-processing tasks.
Toward a machine learning model that can reason about everyday actions

2020-08-31 news.mit.edu 860 ai

A computer vision model developed by researchers at MIT, IBM, and Columbia University can compare and contrast dynamic events captured on video to tease out the high-level concepts connecting them.
Personalized “deep learning” equips robots for autism therapy

2018-06-27 news.mit.edu 788 healthtech

Researchers at the MIT Media Lab outfit therapy robots with a type of personalized machine learning to help children with autism learn how to process emotions.
New AI programming language goes beyond deep learning

2019-06-26 news.mit.edu 774 artificialintelligence fintech MachineLearning Gen Iot

MIT researchers’ probabilistic programming system, Gen, is making it easier for novices to get their feet wet with artificial intelligence, while also helping experts advance the field.
Engineers design artificial synapse for “brain-on-a-chip” hardware

2018-01-26 news.mit.edu 742

MIT engineers have designed an artificial synapse for “brain-on-a-chip” hardware, a major stepping stone toward portable artificial intelligence devices.
Artificial intelligence senses people through walls

2018-06-12 news.mit.edu 719 ai artificialintelligence BigData

RF-Pose, a wireless smart-home system from the MIT Computer Science and Artificial Intelligence Laboratory, could monitor diseases and help the elderly “age in place.”
Artificial intelligence model detects asymptomatic Covid-19 infections through cellphone-recorded coughs

2020-10-29 news.mit.edu 683 artificialintelligence MachineLearning COVID19 covid Healthcare artificalintelligence DigitalHealth

An artificial intelligence model can detect people who are asymptomatic with Covid-19, through cellphone-recorded coughs. The work was led by Brian Subirana and colleagues at the MIT Auto-ID Lab.
Artificial intelligence yields new antibiotic

2020-02-20 news.mit.edu 643 bigdata artificialintelligence Antibiotic

Using a new machine-learning algorithm, MIT researchers have identified a powerful antibiotic that can kill a wide range of species of pathogenic bacteria, including some that are resistant to all known antibiotics.
School of Science welcomes three new professors this spring

2018-01-26 news.mit.edu 575

New faculty join the School of Science departments of Brain and Cognitive Sciences and Earth, Atmospheric and Planetary Sciences. Their research spans mental health and decision making, climate change, ocean modeling, glaciers, online prediction, machine learning, and deep learning.
Using machine learning to track the pandemic’s impact on mental health

2020-11-05 news.mit.edu 567 MachineLearning healthcare covid19 mentalhealth DigitalHealth

Researchers have found an increase in anxiety and in thoughts about suicide in response to Covid-19 after analyzing Reddit posts. They used machine learning to study hundreds of thousands of posts, allowing them to identify changes in the tone and content of language that people used as the pandemic progressed.
Using machine learning to hunt down cybercriminals

2019-10-09 news.mit.edu 565 artificialintelligence MachineLearning cybersecurity

A new machine-learning system developed by researchers at MIT CSAIL and UCSD identifies “serial hijackers” of internet IP addresses.