Image recognition examples
Efficiency

Smaller Models, Bigger Biases

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.
2 min read
Graphs, images and data related to the activation function known as ReLU
Efficiency

Upgrade for ReLU

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?
2 min read
A self-riding bicycle
Efficiency

A Bicycle Built for Zero

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.
1 min read
AI face recognition system for borderline patrol
Efficiency

Borderline AI

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.
1 min read
Craig Wiley speaking
Efficiency

MLOps for All

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.
3 min read
Original vs processed image checking for leaks on a compressor
Efficiency

Super-Human Quality Control

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.
2 min read
Animation of SourceAI working
Efficiency

Robocoders

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.
1 min read
Animation showing a methaforical transition from AI to a green environment
Efficiency

Greener Machine Learning

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...
1 min read
Tractable app determining the cost of a car's damage
Efficiency

Wreck Recognition

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.
1 min read
Netradyne Driveri system used to monitore Amazon's delivery drivers working
Efficiency

Eyes On Drivers

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.
1 min read
Graphs and data related to recurrent neural nets (RNNs)
Efficiency

Performance Guaranteed

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.
2 min read
Information related to a deep learning system developed by Sandia National  Laboratories
Efficiency

Materials Science Gets a Boost

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.
1 min read
Examples of images being produced from noise
Efficiency

Images From Noise

Generative adversarial networks and souped-up language models aren’t the only image generators around. Researchers recently upgraded an alternative known as score-based generative models.
3 min read
Graphs comparing SGD + Momentum, Adam and AdaBelief
Efficiency

Striding Toward the Minimum

When you’re training a deep learning model, it can take days for an optimization algorithm to minimize the loss function. A new approach could save time.
2 min read
Graphs related to world models
Efficiency

It’s a Small World Model After All

World models, which learn a compressed representation of a dynamic environment like, say, a video game, have delivered top results in reinforcement learning. A new method makes them much smaller.
2 min read

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