tool recognizing when workers get too close to each other

Workers of the World, Don’t Unite: Computer vision helped workers maintain social distance.

Computer vision is helping construction workers keep their social distance., a service that focuses on construction sites, offers a tool that recognizes when workers get too close to each other. The tool sends distancing warnings and reports to construction superintendents.
Information and data related to the meta-algorithm AutoML-Zero

Beyond Neural Architecture Search: AutoML-Zero is a meta-algorithm for classification.

Faced with a classification task, an important step is to browse the catalog of machine learning architectures to find a good performer. Researchers are exploring ways to do it automatically.
Data and graphs related to batch normalization

Outside the Norm: Batch normalization contributes to neural network accuracy.

Batch normalization is a technique that normalizes layer outputs to accelerate neural network training. But new research shows that it has other effects that may be more important.
Schematic of a typical deep learning workflow

(Science) Community Outreach: A survey of machine learning from Eric Schmidt

Are your scientist friends intimidated by machine learning? They might be inspired by a primer from one of the world’s premier tech titans. Former Google CEO Eric Schmidt and Cornell PhD candidate Maithra Raghu school scientists in machine learning in a sprawling overview.
Map seen with computer vision

Where Are the Live Bombs?: Computer vision identifies unexploded bombs in Cambodia.

Unexploded munitions from past wars continue to kill and maim thousands of people every year. Computer vision is helping researchers figure out where these dormant weapons are likely to be.
Robotic hand identifying transparent objects

Seeing the See-Through: ClearGrasp allows robots to grab see-through objects.

Glass bottles and crystal bowls bend light in strange ways. Image processing networks often struggle to separate the boundaries of transparent objects from the background that shows through them. A new method sees such items more accurately.
Heat treatment on metal

Satellite Data Hints at China Upswing: AI analysis showed how Covid impacted the Chinese economy.

Neural networks revealed both how hard Covid-19 has hit the Chinese economy, and hopeful signs that a renaissance may be underway. Researchers analyzed satellite imagery, GPS signals, and social media to get a multifaceted view of the pandemic’s impact.
Graphs related to ImageNet error landscape

Rightsizing Neural Nets: An equation for predicting optimal data and model size

How much data do we want? More! How large should the model be? Bigger! How much more and how much bigger? New research estimates the impact of dataset and model sizes on neural network performance.
Animated symbol of Covid-19 virus structure

AI Takes on Coronavirus: CORD-19 is a free dataset of 30,000 coronavirus articles.

Machine learning thrives on data, but information about the novel coronavirus and the illness it produces has been either thin or hard to access. Now researchers are pooling resources to share everything we do know.
Graph related to imple Contrastive Learning (SimCLR)

Self-Supervised Simplicity: Image classification with simple contrastive learning (SimCLR)

A simple linear classifier paired with a self-supervised feature extractor outperformed a supervised deep learning model on ImageNet, according to new research.
Info about radioactive data

X Marks the Dataset: Radioacive data helps trace a model's training corpus.

Which dataset was used to train a given model? A new method makes it possible to see traces of the training corpus in a model’s output.
Clay tablet

The King’s Moleskine: AI tool helps archaeologists translate clay tablets.

Machine learning promises to streamline handling of tomorrow’s bureaucratic drudgery — and, it turns out, that of 2,500 years ago. Computer vision is helping researchers at the University of Chicago translate a massive collection of ancient records inscribed on clay tablets.
FixMatch example

Less Labels, More Learning: Improved small data performance with combined techniques

In small data settings where labels are scarce, semi-supervised learning can train models by using a small number of labeled examples and a larger set of unlabeled examples. A new method outperforms earlier techniques.
Some results from CB Insights' annual list of the 100 most promising startups in AI

Machine Learning Churning: The hottest AI startups of 2020, according to CB Insights

Many of this year’s hottest AI companies are taking the spotlight from last year’s darlings.What’s new: CB Insights, which analyzes early-stage companies, published its annual list of the 100 “most promising” startups in AI.
Functioning of system that trackes the productivity of industrial workers

Eyes on the Assembly Line: Computer vision tracks worker efficiency in warehouses.

AI may not steal your job, but it can tell the boss when you’re slacking. Drishti, a startup based in Palo Alto and Bengaluru, tracks the productivity of industrial workers by recognizing their actions on the assembly line.

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