Apr 29, 2020

8 Posts

The Great Wave off Kanagawa by Hokusai
Apr 29, 2020

The Batch: Tesla Parts the Curtain, Detecting Dangerous Bugs, Mapping Disaster Zones, Detecting Humans from Wi-Fi

In an earlier letter, I wrote about the challenge of robustness: A learning algorithm that performs well on test data often doesn’t work well in a practical production environment because the real world turns out to be different than the test set.
Self-driving software working
Apr 29, 2020

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.
Data and information related to people detection in a room with a Wi-Fi router
Apr 29, 2020

Room With a View: AI detects humans from Wi-Fi disturbances.

Your body disturbs Wi-Fi signals as you move through them. New research takes advantage of the effect to recognize the presence of people. Yang Liu and colleagues at Syracuse University detected people in a room with a Wi-Fi router by analyzing the signal.
Series of images and data related to a tool that maps where hurricanes and other calamities have wiped out roads
Apr 29, 2020

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
Apr 29, 2020

Bug Squasher: AI helps security researchers fix the most severe 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.
Graphs and data related to Scan2Plan, a model that segments 3D scans of empty indoor spaces into floor plans
Apr 29, 2020

Finding a Floor Plan: Scan2Plan helps vacuum robots create interior maps.

Robot vacuum cleaners are pretty good at navigating rooms, but they still get stuck in tight spaces. New work takes a step toward giving them the smarts they’ll need to escape the bathroom.
Road sign with the word "trust"
Apr 29, 2020

Toward AI We Can Count On: Public trust recommendations from AI researchers

A consortium of top AI experts proposed concrete steps to help machine learning engineers secure the public’s trust. Dozens of researchers and technologists recommended actions to counter public skepticism toward artificial intelligence, fueled by issues like data privacy.
The Great Wave off Kanagawa by Hokusai
Apr 29, 2020

Tips for Building Practical Machine learning systems

In an earlier letter, I wrote about the challenge of robustness: A learning algorithm that performs well on test data often doesn’t work well in a practical production environment because the real world turns out to be different than the test set.

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