Communications of the ACM
AI Will Augment SEO
Adding artificial intelligence to search engines enables enhanced Search Engine Optimization and Marketing.
From ACM News
An 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
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.
From ACM TechNews
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...
From ACM TechNews
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.
From ACM TechNews
Engineers Discover Way to Control Atomic Nuclei as 'Qubits'
MIT engineers have formulated a method of controlling the spins of atomic nuclei as quantum bits using two different-colored laser beams.
From ACM News
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 News
Reasserting U.S. Leadership in Microelectronics
MIT researchers lay out a strategy for how universities can help the U.S. regain its place as a semiconductor superpower.
From ACM TechNews
Quantum Computing Architecture Could Connect Large-Scale Devices
A new quantum computing architecture can facilitate extensible, high-fidelity communication between superconducting quantum chips.
From ACM TechNews
Computational System Streamlines Design of Fluidic Devices
Massachusetts Institute of Technology researchers were part of a team that built a new system to simplify the process of designing fluidic devices.
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
Thinking Like a Cyber-Attacker to Protect User Data
Researchers exploit computer processor's on-chip interconnect to launch side-channel attacks.
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
Engineers Build LEGO-Like AI Chip
An international team of researchers has developed an artificial intelligence chip that is stackable and reconfigurable, similar to LEGO bricks.
From ACM TechNews
Stronger Security for Smart Devices
Two new security techniques block power and electromagnetic side-channel attacks targeting analog-to-digital converters in smart devices.
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 TechNews
Does This AI Think Like a Human?
Scientists have developed the Shared Interest method for rapidly analyzing a machine learning model's behavior by evaluating its individual explanations.
From ACM TechNews