The cost of training top-performing machine learning models has grown beyond the reach of smaller companies.

Isomorphic aims to build its business on AlphaFold 2, an ensemble of neural networks that finds the shapes of protein molecules.

Deep learning is helping to protect elderly people from potentially catastrophic tumbles.What’s happening: More than 2,000 senior living facilities across the U.S. use a diagnostic system called VirtuSense Balance

Compression methods like parameter pruning and quantization can shrink neural networks for use in devices like smartphones with little impact on accuracy — but they also exacerbate a network’s bias.

The activation function known as ReLU builds complex nonlinear functions across layers of a neural network, making functions that outline flat faces and sharp edges. But how much of the world breaks down into perfect polyhedra?

Self-driving cars, get ready to share the road with self-riding bikes. Beijing-based machine learning researcher Zhihui Peng built a riderless bike that stays upright, navigates, and avoids collisions.

U.S. immigration officials expect over 2 million migrants to reach the country’s southern border by the end of the year. They’re counting on face recognition to streamline processing of those who seek asylum.

Craig Wiley has journeyed from the hand-deployed models of yore to the pinnacle of automated AI. Today, as chief product manager of Google Cloud’s AI services, he’s making advanced tools and processes available to anyone with a credit card.

A computer vision model, continually trained and automatically updated, can boost quality control in factories. Landing AI, a machine learning platform company led by Andrew Ng, helped a maker of compressors for refrigeration check them for leaks.

Language models are starting to take on programming work. SourceAI uses GPT-3 to translate plain-English requests into computer code in 40 programming languages. The French startup is one of several companies that use AI to ease coding.

A new study suggests tactics for machine learning engineers to cut their carbon emissions. Led by David Patterson, researchers at Google and UC Berkeley found that AI developers can shrink a model’s carbon footprint a thousand-fold by streamlining architecture...

Automobile insurers are increasingly turning to machine learning models to calculate the cost of car repairs. The pandemic has made it difficult for human assessors to visit vehicles damaged in crashes, so the insurance industry is embracing automation.

Amazon is monitoring its delivery drivers with in-vehicle cameras that alert supervisors to dangerous behavior. The online retail giant rolled out a ceiling-mounted surveillance system that flags drivers who, say, read texts, fail to use seatbelts, exceed the speed limit, or ignore a stop sign.

Bayes-optimal algorithms always make the best decisions given their training and input, if certain assumptions hold true. New work shows that some neural networks can approach this kind of performance.

Neural nets could speed up development of new materials.What’s new: A deep learning system from Sandia National Laboratories dramatically accelerated simulations that help scientists understand how changes to the design or fabrication of a material change its properties.