Communications of the ACM
There is Plenty of Room at The Top (of Supercomputing)
Jack Dongarra on the future of high-performance computing.
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.
From ACM TechNews
Engineers Build Battery-Free, Wireless Underwater Camera
Massachusetts Institute of Technology engineers have developed a battery-free, wireless underwater camera.
From ACM TechNews
AI System Makes Models Like DALL-E 2 More Creative
The Composable Diffusion model can help artificial intelligence-based image generators produce more complex imagery with better comprehension.
From ACM TechNews
Researchers Discover Major Roadblock in Alleviating Network Congestion
Researchers found congestion control algorithms fail to prevent certain users from taking up all the bandwidth.
From ACM TechNews
Smart Textiles Sense How Their Users Are Moving
Researchers have fabricated smart textiles that can sense their wearer's posture and motions.
From ACM TechNews
Robotic Lightning Bugs Take Flight
Fireflies inspired researchers to build flying, light-emitting robots that facilitate motion tracking and communication.
From ACM TechNews
Model Helps Identify Mutations That Drive Cancer
Researchers created a probabilistic computer model that rapidly scans the genome of cancer cells to identify cancer-driving mutations.
From ACM TechNews
CRISPR-Based Map Ties Every Human Gene to Its Function
A group of researchers have published the first comprehensive functional map of genes expressed in human cells.
From ACM TechNews
Hallucinating to Better Text Translation
Scientists developed the VALHALLA machine learning method to hallucinate images of written words, and using those to help translate that text into target languages...
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Unpacking Black-Box Models
A mathematical framework aims to quantify and evaluate the understandability of a machine learning model's explanations for its predictions.
From ACM News
Predicting Others' Behavior on the Road With Artificial Intelligence
A new machine learning system may someday help driverless cars predict the next moves of nearby drivers, pedestrians, and cyclists in real-time.
From ACM TechNews
Engineers Use AI to Capture Complexity of Breaking Waves
An international research team lleveraged machine learning to model how waves break, which could help improve the design of offshore structures and climate prediction...
From ACM News
Estimating the Informativeness of Data
MIT researchers can now estimate how much information data are likely to contain, in a more accurate and scalable way than previous methods.
From ACM TechNews
Fighting Discrimination in Mortgage Lending
To help combat discrimination in mortgage lending, a new process can remove bias from the data used to train machine learning models.
From ACM TechNews
A Tool for Predicting the Future
A group of researchers has developed a system that allows nonexperts to generate predictions in just a few seconds.
From ACM TechNews
Making Quantum Circuits More Robust
A team led by researchers at the Massachusetts Institute of Technology has developed a framework to make quantum circuits more resilient to noise.
From ACM TechNews
AI System Rapidly Predicts How Two Proteins Will Attach
An artificial intelligence model can forecast the binding configuration of two proteins.
From ACM TechNews
ML Speeds Up Vehicle Routing
A new machine learning approach could speed up vehicle routing algorithms, which tend to slow down when applied to large urban datasets.
From ACM TechNews
ML Flags Remedies That Might Do More Harm Than Good
Scientists designed a machine learning model to identify medical treatments that could pose greater potential danger than alternatives.
From ACM TechNews
Tiny ML Design Alleviates Bottleneck in Memory Usage on IoT Devices
Researchers come up with a machine learning method to reduce the amount of memory required for Internet of Things devices.
From ACM TechNews
Taking Some Guesswork Out of Drug Discovery
The deep learning GeoMol model can rapidly predict the three-dimensional shapes of drug-like molecules, which could expedite drug discovery.12