Communications of the ACM
Organizing Unstructured Data
Vector databases, commonly used for similarity search and product recommendations, are a shining light in the era of Artificial… From ACM NewsAn edited collection of advanced computing news from Communications of the ACM, ACM TechNews, other ACM resources, and news sites around the Web.
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Want to Squelch Fake News? Let Readers Take Charge
Massachusetts Institute of Technology researchers demonstrated that crowdsourced judgments about the quality of news sources can marginalize online misinformation...
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Identifying Artificial Intelligence 'Blind Spots'
A novel model developed by MIT and Microsoft researchers identifies instances in which autonomous systems have "learned" from training examples that don't match...
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Democratizing Data Science
Researchers have developed a tool for nonstatisticians that automatically generates models for analyzing raw data. The tool takes in datasets and generates sophisticated...
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Deep Learning Technique Reveals 'Invisible' Objects in the Dark
Engineers used a deep neural network to train a computer to reconstruct transparent objects from images captured in almost total darkness.
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Team Invents Method to Shrink Objects to the Nanoscale
MIT researchers have invented a way to fabricate nanoscale 3-D objects of nearly any shape. They can also pattern the objects with a variety of useful materials...
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Ingestible Capsule Can Be Controlled Wirelessly
A new ingestible capsule can be customized to dispatch drugs, sense environmental conditions, or both, and can remain in the stomach for at least a month.
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Fleets of Drones Could Aid Searches for Lost Hikers
Massachusetts Institute of Technology researchers have developed an autonomous system to direct a fleet of drones.
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Automated System Identifies Dense Tissue, a Risk Factor for Breast Cancer, in Mammograms
A new automated system assesses dense breast tissue in mammograms as reliably as human radiologists.
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A Step Toward Personalized, Automated Smart Homes
A new system uses reflected wireless signals to identify occupants within a home, even when they are not carrying mobile devices.
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Reducing False Positives in Credit Card Fraud Detection
A new machine learning technique can drastically reduce false positives in fraud-detecting technology that incorrectly flag credit card sales as suspicious.
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Software Finds the Best Way to Stick a Mars Landing
Massachusetts Institute of Technology researchers have developed software that could inform the selection of landing sites for scientific expeditions to Mars.
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Creating 3D-Printed 'Motion Sculptures' From 2D Videos
A new algorithm can take two-dimensional videos and turn them into three-dimensionally-printed "motion sculptures" that show how a human body moves through space...
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Model Can More Naturally Detect Depression in Conversations
A new neural network model can analyze raw text and audio data from clinical interviews to detect speech patterns signaling depression.
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A 'GPS for Inside Your Body'
A new "in-body global-positioning system" can locate ingestible implants within the body using low-power wireless signals.
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Wireless Communication Breaks Through Water-Air Barrier
MIT researchers have taken a step toward solving a longstanding challenge with wireless communication: direct data transmission between underwater and airborne...
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Doctors Rely on More Than Just Data for Medical Decision Making
An analysis found doctors' "gut feelings" about an intensive-care patient's condition played a significant role in determining how many tests were ordered for the...
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Cell-Sized Robots Can Sense Their Environment
Massachusetts Institute of Technology researchers have developed cell-sized robots that can sense their environment, store data, and conduct computational tasks...
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Personalized 'Deep Learning' Equips Robots for Autism Therapy
A personalized deep learning network is designed to help robots gauge the effect of autism therapy on children, using data that is unique to each patient.
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Faster Analysis of Medical Images
A new machine learning algorithm can register brain scans and other three-dimensional images about 1,000 times faster than previously possible using novel learning...
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