AI & RoboticsNews

Ride Vision raises $7 million for AI that alerts motorcycle riders to collision threats

Ride Vision, a startup developing “collision aversion” technology for motorcycles, today emerged from stealth with a $7 million round led by investment platform OurCrowd. Ride Vision also unveiled an AI-driven safety alert system called Ride Vision 1 that will go on sale in several European countries in early 2021. A spokesperson said the fresh capital will be used for marketing, distribution…
Read more
AI & RoboticsNews

AI Weekly: Tech, power, and building the Biden administration

After the defeat of Donald Trump, there was little time between Joe Biden and Kamala Harris’ celebratory speeches and the start of conversations about transition team members and key administration appointments. Some of the first names to emerge include people with tech backgrounds like former Google CEO Eric Schmidt who may be tapped to lead a tech industry panel in the White House. Since…
Read more
AI & RoboticsNews

Why AI can’t move forward without diversity, equity, and inclusion

The need to pursue racial justice is more urgent than ever, especially in the technology industry. The far-reaching scope and power of machine learning (ML) and artificial intelligence (AI) means that any gender and racial bias at the source is multiplied to the nth power in businesses and out in the world. The impact those technology biases have on society as a whole can’t be…
Read more
AI & RoboticsNews

How Google built its AI-powered Hum to Search feature

In October, Google announced it would let users search for songs by simply humming or whistling melodies, initially in English on iOS and in more than 20 languages on Android. At the time, the search giant only hinted at how the new Hum to Search feature worked. But in a…
AI & RoboticsNews

Researchers claim AI algorithm uses heart rate and motion data to predict age, sex, and more

How much information about a person’s behavior can you ascertain from a wearable device? Researchers at the University of Cambridge and Alan Turing Institute sought to investigate this in a study involving over 280,000 hours of wrist accelerometer and wearable electrocardiogram (ECG) data. They claim they successfully trained classifiers on the dataset to capture physiologically meaningful…
Read more