Beaches buried in plastic and garbage
Classification

Seeing Sea Plastic: Computer vision spots ocean trash from satellite imagery.

A machine learning model is scanning the oceans for the glint of garbage. Researchers from the UK’s Plymouth Marine Laboratory trained a model to identify ocean-borne refuse.
Self-driving software working
Classification

Tracking the Elusive Stop Sign: How Tesla trained its cars to recognize stop signs

Recognizing stop signs, with their bold color scheme and distinctive shape, ought to be easy for computer vision — but it turns out to be a tricky problem. Tesla pulled back the curtain on what it takes to train its self-driving software to perform this task and others.
Series of images and data related to a tool that maps where hurricanes and other calamities have wiped out roads
Classification

Roads to Recovery: AI maps the route through disaster zones

Deep learning promises to help emergency responders find their way through disaster zones. MIT researchers developed a tool that maps where hurricanes and other calamities have wiped out roads, helping to show aid workers the fastest ways to get to people in need.
Graph related to a machine learning model that reads the titles of bug reports
Classification

Bug Squasher: AI helps security researchers fix the most sever bugs first.

A new algorithm can triage programming bugs, highlighting dangerous flaws. Microsoft researchers developed a machine learning model that reads the titles of bug reports and recognizes those describing flaws that compromise security.
Information and data related to the meta-algorithm AutoML-Zero
Classification

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.
Robotic hand identifying transparent objects
Classification

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
Classification

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.
Graph related to imple Contrastive Learning (SimCLR)
Classification

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.
Robotic hand controlled by an amputee taking a can
Classification

AI Gets a Grip: AI helps amputees control robotic hands.

Amputees can control a robotic hand with their thoughts — plus machine learning. University of Michigan researchers developed a system that uses signals from an amputee’s nervous system to control a prosthetic hand.
Functioning of system that trackes the productivity of industrial workers
Classification

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.
Text "You only live once. #YOLO" written over an orange background
Classification

Code No Evil: Why YOLO's co-creator no longer works on computer vision.

A prominent AI researcher has turned his back on computer vision over ethical issues. The co-creator of the popular object-recognition network You Only Look Once (YOLO) said he no longer works on computer vision because the technology has “almost no upside and enormous downside risk.”
Exercise training system working
Classification

Personal TrAIner: How AI is helping home workouts

No more sloppy workouts: AI can correct your form. A home exercise system uses neural nets to analyze your motions and tell you when you perform a move properly, reports The Verge.
Information related to a test powered by deep learning that diagnoses tumor samples in only a few minutes
Classification

Surgical Speed-Up: An AI tool for diagnosing brain tumor scans

Every second counts when a patient’s skull is open in the operating room. A new technique based on deep learning can shorten some brain surgeries. During brain cancer operations, surgeons must stop in mid-operation for up to a half hour while a pathologist analyzes the tumor tissue.
The Tibot Spoutnic
Classification

Poultry in Motion: Tyson Foods uses AI to track inventory of chicken products.

A top meat packer is counting its chickens with AI. Tyson Foods is using computer vision to track drumsticks, breasts, and thighs as they move through its processing plants, the Wall Street Journal reports.
Automatic license plate reader
Classification

Glimpse My Ride: How Los Angeles police used license plate readers

Police in the U.S. routinely use AI to track cars with little accountability to the public. Documents obtained by Wired revealed just how intensively police in Los Angeles, California, have been using automatic license plate readers.

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