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Latest News News Archive Refine your search:
datePast Year
subjectArtificial Intelligence
authorMIT News
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An edited collection of advanced computing news from Communications of the ACM, ACM TechNews, other ACM resources, and news sites around the Web.


Crowdsourced Feedback Helps Train Robots
From ACM TechNews

Crowdsourced Feedback Helps Train Robots

A reinforcement learning approach trains robots using crowdsourced feedback from nonexpert users.

Synthetic Imagery Sets New Bar in AI Training Efficiency
From ACM TechNews

Synthetic Imagery Sets New Bar in AI Training Efficiency

A team of researchers demonstrated that training machine learning models with synthetic images can outperform traditional training methods using real images.

Engineers Are on a Failure-Finding Mission
From ACM TechNews

Engineers Are on a Failure-Finding Mission

An algorithm developed by Massachusetts Institute of Technology researchers aims to identify potential failures in simulated autonomous systems prior to their real...

Using Language to Give Robots a Better Grasp of Open-Ended World
From ACM TechNews

Using Language to Give Robots a Better Grasp of Open-Ended World

The Feature Fields for Robotic Manipulation method helps robots identify nearby objects by forming three-dimensional scenes from two-dimensional images and vision...

Study Decodes Surprising Approach Mice Take in Learning
From ACM TechNews

Study Decodes Surprising Approach Mice Take in Learning

Neuroscientists studied the behavior of mice in a learn-reward situation, with the aim of teaching the mice to turn a wheel left or right to receive a reward.

Helping Computer Vision, Language Models Understand What They See
From ACM TechNews

Helping Computer Vision, Language Models Understand What They See

Massachusetts Institute of Technology and other researchers developed a technique that uses computer-generated data to help vision and language models better understand...

ML System Based on Light Could Yield More Powerful, Efficient LLMs
From ACM TechNews

ML System Based on Light Could Yield More Powerful, Efficient LLMs

A team of researchers has developed a light-based machine learning system that could surpass the system behind ChatGPT in terms of power and efficiency, while also...

Computer Vision That Works More Like a Brain Sees More Like People Do
From ACM TechNews

Computer Vision That Works More Like a Brain Sees More Like People Do

Massachusetts Institute of Technology researchers trained an artificial neural network to function like the brain's inferior temporal cortex to improve computer...

Atlas of Human Brain Blood Vessels Highlights Changes in Alzheimer's Disease
From ACM TechNews

Atlas of Human Brain Blood Vessels Highlights Changes in Alzheimer's Disease

Scientists created a molecular atlas of human brain blood vessels to highlight Alzheimer's disease-related changes across six regions.

Probabilistic AI That Knows How Well It's Working
From ACM TechNews

Probabilistic AI That Knows How Well It's Working

A new technique produces artificial intelligence (AI) inference algorithms that can generate explanations for data and calculate their accuracy.

Training Machines to Learn More Like Humans Do
From ACM TechNews

Training Machines to Learn More Like Humans Do

Scientists found computer vision models can be trained to produce more stable, predictable visual representations, similar to those humans learn through perceptual...

Scientists Use Computational Modeling to Design 'Ultrastable' Materials
From ACM TechNews

Scientists Use Computational Modeling to Design 'Ultrastable' Materials

A new computational model may be used to predict which metal-organic framework structures will be most stable for a given application.

Bug-Sized Robots Keep Flying After Wing Damage
From ACM TechNews

Bug-Sized Robots Keep Flying After Wing Damage

Artificial muscles created by Massachusetts Institute of Technology researchers can enable insect-sized aerial robots to repair themselves following damage.

AI Model Can Detect Future Lung Cancer Risk
From ACM TechNews

AI Model Can Detect Future Lung Cancer Risk

A new artificial intelligence tool can perform lung cancer risk assessments without the help of a radiologist.
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