AI & RoboticsNews

RhythmNet uses AI to estimate your heart rate using your face

A wearable heart rate monitor is one thing, but what about a system that’s able to estimate a person’s heartbeat from footage of their face alone? That’s what researchers at the Chinese Academy of Sciences set out to design in a preprint paper published on Arxiv.org. In it, they describe RhythmNet, an end-to-end trainable heart rate estimator that taps AI and photoplethysmography (PPG) —…
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MobileNews

Xiaomi opens R&D hub in Finland to develop smartphone camera technologies

Xiaomi has officially opened its camera technology R&D hub in Tampere, Finland, three months after the Chinese smartphone giant announced that it had set up a local company in the area. The choice of location is notable, insofar as Nokia built its mobile phone empire in the region, which means there should be an abundance of talent and resources relevant to smartphone technology — Nokia…
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MobileNews

LG Dual Screen review: Where are the apps?

In August, we reviewed the LG Dual Screen, a clamshell case for the LG V50 ThinQ with a built-in screen that doubles as a miniature monitor. Months later, at IFA 2019 in Berlin, LG announced a revamped Dual Screen with a few nips and tucks, chief among them higher-quality…
AI & RoboticsNews

Imagine Impact is an AI-based incubator for entertainment storytellers

Strong writing makes all the difference about whether a Hollywood show turns out like Game of Thrones or Pee-Wee Herman’s Big Adventure. That’s why Ron Howard and Brian Glazer’s Imagine Entertainment opened an incubator for writers called Imagine Impact. The film and TV industries employ 2.6 million people in the U.S. alone, and those businesses generate $77 billion a year on wages. But…
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AI & RoboticsNews

MIT CSAIL’s swarm of robotic cubes can shapeshift at will

Collaborative robots have captured the public’s imagination for decades, and it’s no wonder — machines can achieve incredible feats by working together as a team. One need look no further for evidence than a new study from the MIT’s Computer Science and Artificial Intelligence Lab (CSAIL), which was supported in part by the National Science Foundation and Amazon’s robotics division.
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