Using artificial intelligence to enrich digital maps
Model tags road features based on satellite images, to improve GPS navigation in places with limited map data.
Rob Matheson | MIT News Office | Jan. 23, 2020 | mit~9 mins
Tags: research computer-science-and-technology algorithms transportation cities automobiles machine-learning computer-science-and-artificial-intelligence-laboratory-csail electrical-engineering-computer-science-eecs school-of-engineering artificial-intelligence
How to verify that quantum chips are computing correctly
A new method determines whether circuits are accurately executing complex operations that classical computers can’t tackle.
Rob Matheson | MIT News Office | Jan. 13, 2020 | mit~9 mins
Tags: research computer-science-and-technology algorithms light photonics nanoscience-and-nanotechnology quantum-computing electronics machine-learning artificial-intelligence research-laboratory-of-electronics electrical-engineering-computer-science-eecs school-of-engineering
How well can computers connect symptoms to diseases?
Models that map these relationships based on patient data require fine-tuning for certain conditions, study shows.
Rob Matheson | MIT News Office | Jan. 9, 2020 | mit~9 mins
Tags: research computer-science-and-technology algorithms machine-learning health health-care disease medicine institute-for-medical-engineering-and-science-imes computer-science-and-artificial-intelligence-laboratory-csail electrical-engineering-computer-science-eecs school-of-engineering
Finding the true potential of algorithms
Using mathematical theory, Virginia Williams coaxes algorithms to run faster or proves they’ve hit their maximum speed.
Rob Matheson | MIT News Office | Jan. 7, 2020 | mit~9 mins
Tags: research computer-science-and-technology algorithms profile faculty computer-science-and-artificial-intelligence-laboratory-csail electrical-engineering-computer-science-eecs school-of-engineering mathematics
Tool predicts how fast code will run on a chip
Machine-learning system should enable developers to improve computing efficiency in a range of applications.
Rob Matheson | MIT News Office | Jan. 6, 2020 | mit~7 mins
Tags: research computer-science-and-technology algorithms machine-learning data computer-science-and-artificial-intelligence-laboratory-csail electrical-engineering-computer-science-eecs school-of-engineering
Differences between deep neural networks and human perception
Stimuli that sound or look like gibberish to humans are indistinguishable from naturalistic stimuli to deep networks.
Kenneth I. Blum | Department of Brain and Cognitive Sciences | Dec. 12, 2019 | mit~7 mins
Tags: brain-and-cognitive-sciences center-for-brains-minds-and-machines mcgovern-institute research machine-learning artificial-intelligence school-of-science neuroscience
Using computers to view the unseen
A new computational imaging method could change how we view hidden information in scenes.
Rachel Gordon | CSAIL | Dec. 6, 2019 | mit~7 mins
Tags: computer-science-and-artificial-intelligence-laboratory-csail electrical-engineering-and-computer-science-eecs school-of-engineering research algorithms computer-science-and-technology computer-vision video-games video disaster-response film-and-television
Helping machines perceive some laws of physics
Model registers “surprise” when objects in a scene do something unexpected, which could be used to build smarter AI.
Rob Matheson | MIT News Office | Dec. 2, 2019 | mit~9 mins
Tags: research computer-science-and-technology algorithms artificial-intelligence machine-learning computer-vision computer-science-and-artificial-intelligence-laboratory-csail brain-and-cognitive-sciences electrical-engineering-computer-science-eecs school-of-engineering center-for-brains-minds-and-machines
Producing better guides for medical-image analysis
Model quickly generates brain scan templates that represent a given patient population.
Rob Matheson | MIT News Office | Nov. 26, 2019 | mit~7 mins
Tags: research computer-science-and-technology algorithms imaging machine-learning health-care medicine computer-science-and-artificial-intelligence-laboratory-csail electrical-engineering-computer-science-eecs school-of-engineering
MIT conference focuses on preparing workers for the era of artificial
As automation rises in the workplace, speakers explore ways to train students and reskill workers.
Rob Matheson | MIT News Office | Nov. 22, 2019 | mit~10 mins
Tags: research computer-science-and-technology algorithms computer-science-and-artificial-intelligence-laboratory-csail sloan-school-of-management technology-and-society jobs economics policy artificial-intelligence machine-learning innovation-and-entrepreneurship-ie business-and-management manufacturing careers special-events-and-guest-speakers
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