Communications of the ACM
Multimodal AI Connects the Digital Dots
By knitting together multiple components and data streams, multimodal AI offers the promise of smarter, more human-like systems… 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.
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An Easier Way to Teach Robots New Skills
Massachusetts Institute of Technology researchers have developed a machine learning method that enables robots to acquire new skills using a handful of human examples...
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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.
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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.
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Injecting Fairness into ML Models
Researchers have devleoped a method of incorporating fairness into machine learning models, even if they are trained on unfair data.
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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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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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Toward Speech Recognition for Uncommon Spoken Languages
The new Prune, Adjust, and Re-Prune (PARP) technique allows an advanced speech-learning model learn uncommon spoken languages more easily.
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Artificial Networks Learn to Smell Like the Brain
A machine learning model can train itself to smell by building an artificial neural network that mimics the brain's odor-processing olfactory circuits.
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One Giant Leap for the Mini Cheetah
A new control system enhances the speed and agility of legged robots as they leap across gaps.
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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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AI Is Smart, but Does It Play Well with Others?
Researchers explored humans' ability to play a card game with an artificial intelligence model trained to play with teammates never before encountered.
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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.
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Using Adversarial Attacks to Refine Molecular Energy Predictions
MIT researchers find new way to quantify the uncertainty in molecular energies predicted by neural networks
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Machine Learning Discovers Sequences to Boost Drug Delivery
Researchers have developed an approach that uses experimental chemistry and artificial intelligence to facilitate delivery of a drug to treat Duchenne muscular...
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System Trains Drones to Fly Around Obstacles at High Speeds
New algorithm could enable fast, nimble drones for time-critical operations such as search and rescue
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Creating 'Digital Twins' at Scale
Researchers have designed a model for generating digital twins—precise computer simulations—at scale.
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Helping Robots Collaborate to Get the Job Done
A new algorithm aims to foster cooperation between information-gathering robot teams.
From ACM TechNews