The news archive provides access to past news stories from Communications of the ACM and other sources by date.
Robot swarms could cooperate more effectively if communication among some members of the swarm could be curtailed.
A new algorithm can extract an individual’s circadian rhythm from heart rate data collected by their smartwatch.
Development Command's Army Research Laboratory ]has designed a machine learning-based framework to augment the security of in-vehicle computer networks.
Purdue University researchers found in a recent study that putting a smartphone in dark mode is unlikely to save significant battery life.
Stanford University researchers have developed a machine learning teaching tool designed to assist computer science professors in gauging feedback from large numbers of students.
The U.S. government eyes cryogenically cooled circuitry for tomorrow's exascale computers.
SentinelOne analysts were able to recreate the July 9 attack and identify the threat actor behind it.
About 40% of new chip-production capacity projected to be added in the next decade will be in China.
Considering ways to curb screen time and build healthier habits.
Semiconductor shortage hammering automakers, costing billions in lost production and sales.
PunkSpider is back, and crawling hundreds of millions of sites for vulnerabilities.
Some observers say the dream of fully autonomous vehicles is a mirage: creating robot vehicles able to tackle any kind of road or traffic situation is just too tough a nut to crack. Are they right?
Farmers can formulate a budget balance sheet for nitrogen reduction plans and view customized economic and environmental impacts and benefits of the fields they plant through a new tool.
Researchers have developed a technique to help computer vision algorithms more accurately process satellite imagery of the Earth, even when trained on limited data.
Scientists at Los Alamos National Laboratory used a D-Wave quantum-annealing computer to test the behavior of isolated emergent magnetic monopoles.
Bonnie Titone at Duke Energy said the U.S. utility has slashed its labor costs by more than $74 million via artificial intelligence and machine learning solutions, including computer vision and robots.
This year's Olympic Games in Tokyo use an advanced three-dimensional tracking system that captures athletes' performances in fine detail.
A wearable computer vision device developed by Harvard Medical School scientists may help reduce collisions and other accidents for the blind and visually impaired.
An untethered bipedal robot engineered by Oregon State University (OSU) researchers and built by OSU spinout company Agility Robotics completed a five-kilometer run in just over 53 minutes.
The Los Angeles Fire Department has partnered with digital location startup What3words, which has assigned a unique three-word name to each of 57 billion 10-foot-square spots on Earth.
Scientists at Japan's Tohoku University have invented a virtual version of air hockey that uses shapeshifting virtual projections of paddles and pucks.
Companies are building synthetic datasets when real-world data is unavailable to train artificial intelligence models to identify anomalies.
Companies and countries are pouring tens of billions of dollars into different qubit technologies, but it's still too early to predict a winner.
As surfing completes its first-ever Olympic ride, the sport is poised for another sea change thanks to artificial intelligence and big data.
For example, earlier this year, enterprise security firm Proofpoint discovered new malware written in Nim and Rust.
Scientists at Arizona State University and Carnegie Mellon University are enhancing intersection safety with connected autonomous vehicles and distributed real-time systems.
An artificial intelligence algorithm developed by researchers at the University of California, Berkeley and Carnegie Mellon University helps four-legged robots make quick adaptations to their environment.
Researchers in the U.K. have developed free open source software that towns and cities can use to estimate reductions in air pollutant concentrations from different methods of street planting.
This work also represents a significant advancement to our understanding and control of Andreev levels.