Communications of the ACM
A Healthy Dose of AI
Building artificial intelligence into medical devices can speed diagnoses and potentially improve treatments and outcomes.
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
Crowdsourced Feedback Helps Train Robots
A reinforcement learning approach trains robots using crowdsourced feedback from nonexpert users.
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...
From ACM TechNews
Shape-Shifting Fiber Produces Morphing Fabrics
The FibeRobo programmable fiber can change shape in response to temperature changes.
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...
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Superconducting Device Could Dramatically Cut Energy Use in Computing, Other Applications
A simple superconducting device developed by MIT researchers could help achieve significant reductions in energy usage by high-power computing systems and potentially...
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A New Way to Look at Data Privacy
A new metric allows a small amount of noise to be added to models to protect sensitive data while maintaining the model's accuracy.
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Researchers Grow Precise Arrays of nanoLEDs
A new technique produces perovskite nanocrystals right where they are needed, so the exceedingly delicate materials can be integrated into nanoscale devices.
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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.
From ACM TechNews
Four-Legged Robotic System for Playing Soccer on Various Terrains
The four-legged DribbleBot robot developed by Massachusetts Institute of Technology researchers can dribble soccer balls using onboard sensors, computing, and reinforcement...
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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.
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Chip for Decoding Data Transmissions Demonstrates Record-Breaking Energy Efficiency
The Ordered Reliability Bits Guessing Random Additive Noise Decoding decoder chip uses a more energy-efficient technique for decoding data transmissions based on...
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3D-Printed Heart Replicas Look, Pump Like the Real Thing
Physicists developed a procedure to enable the creation of three-dimensionally printed replicas of patients’ hearts.
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A New Way for Quantum Computing Systems to Keep Their Cool
A wireless technique enables a super-cold quantum computer to send and receive data without generating too much error-causing heat.
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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Quantum Computing Architecture Could Connect Large-Scale Devices
A new quantum computing architecture can facilitate extensible, high-fidelity communication between superconducting quantum chips.
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This Is Your Brain. This Is Your Brain on Code
Researchers found that the brain's demand and language systems encode specific code properties that correlate with machine-learned representations.
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A Faster Way to Preserve Privacy Online
Researchers have developed a method for retrieving private information from a database that is approximately 30 times faster than comparable methods.
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Breaking the Scaling Limits of Analog Computing
New technique could diminish errors that hamper the performance of super-fast analog optical neural networks.
From ACM TechNews
Study Urges Caution When Comparing Neural Networks to the Brain
A study by Massachusetts Institute of Technology researchers revealed the difficulty of comparing neural networks to the brain.
From ACM TechNews