Communications of the ACM
The Promise of Holographic Displays
The computational expense of creating three-dimensional images that can be viewed by all is just one factor holding them back… 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
Unpacking Black-Box Models
A mathematical framework aims to quantify and evaluate the understandability of a machine learning model's explanations for its predictions.
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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...
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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.
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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.
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AI System Rapidly Predicts How Two Proteins Will Attach
An artificial intelligence model can forecast the binding configuration of two proteins.
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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.
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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.
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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.
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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.
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Timber or Steel? Study Helps Builders Reduce Carbon Footprint of Truss Structures
Architects and engineers could design truss structures minimizing embodied carbon by using a new set of computational tools.
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Making ML More Useful to High-Stakes Decision Makers
An international research team developed a visual analytics tool to address challenges faced by child welfare specialists using machine learning models to screen...
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Accelerating the Discovery of Materials for 3D Printing
Researchers have developed a less costly, less wasteful machine learning system for identifying three-dimensionally-printable materials.
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These Neural Networks Know What They're Doing
Researchers have shown that a specific neural network can learn the cause-and-effect structure of a navigation task it is taught.
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Tool for Predicting Pedestrian Flow Expands Its Reach
Massachusetts Institute of Technology researchers have developed and applied a predictive model of pedestrian traffic to Melbourne, Australia.
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Deep Learning Helps Predict Drug Combinations to Fight COVID-19
A research team used deep learning to identify drug combinations that can fight COVID-19.
From ACM TechNews
Study: Crowds Can Wise Up to Fake News
Scientists suggest crowdsourced assessments from groups of normal readers can virtually match those of professional fact-checkers in vetting news stories.
From ACM TechNews