Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. A good Samaritan in Tennessee reportedly helped rescue a woman in an alleged kidnapping and domestic violence situation after she used a hand signal popularized on TikTok. "If you see something, say something," witness Eric Streeval told WKRN. "Domestic violence is a bad thing here in Tennessee. The victims, a lot of times they're too afraid to speak out. And I credit the young lady in this situation with having the world's most courage of actually speaking out because who knows what would have happened."

Machine Learning, as defined by Wikipedia, "is the study of computer algorithms that can improve automatically through experience and by the use of data. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks." Running a machine learning algorithm/program on your data is only part of the puzzle – once you get the signal or result, you would need to take action on it, typically in combination with other data that is coming in from other sources.

With his 3-D printed doberman-like head, robot dog Astro may look like something out of a Black Mirror episode -- but this clever canine may be our new best friend. Powered by artificial intelligence technology, the metallic mutt can presently respond to simple commands like'sit', 'stand' and'lie down'. However, by training him in thousands of different scenarios, this robot dog is capable of learning new tricks. His developers expect that he will eventually be able to recognise different languages, hand signals, people and other dogs -- and even team up with drones. Astro is intended to help security forces sniff out prohibited items and first responders scour disaster sites -- but he might even find work as a guide dog.

Amazon was just issued a patent for a UAV that can interpret gesture and vocal commands, a device that could in theory be used to deliver packages. First spotted by GeekWire, the patent describes a drone-like device outfitted with various sensors, cameras and other equipment that could recognize gestures such as a person waving it towards them or someone shooing it away. In some very entertaining illustrations, the patent shows the UAV approaching a human who's waving at it wildly. This isn't the only device that incorporates human gesture as a control mechanism. DJI's Spark drone can be directed with arm movement and a recent Samsung patent shows a drone that can track users' eyes, heads and hands and can be controlled through gesture.

Cyclists and drivers have a long history of not sharing the road. But Google believes there is enough room for both and has taught its fleet of self-driving cars to detect, understand and remember nearby riders. The search giant's latest self-driving car report reveals its autonomous vehicles can now interpret riders' hand signals with onboard sensors and uses machine learning to remember behavior. Google has taught its fleet of self-driving cars to detect cyclists on the road. The search giant's latest self-driving car reports reveals its autonomous vehicles can now interpret riders' hand signals with onboard sensors and uses machine learning to remember behavior After much observation on the roads and private test tracks, the software in the self-driving vehicles has learned to recognize patterns in behavior, which is now helping the vehicles predict a cyclist's next move.

This story was delivered to BI Intelligence IoT Briefing subscribers. To learn more and subscribe, please click here. Google announced Tuesday that its self-driving car technology can now recognize and react to cyclists' hand signals on the road, reported Fortune. A company statement said that the technology's sensors can pick up hand signals and its software can recognize them based on patterns in cyclists' typical behaviors to avert possible collisions. How self-driving vehicles will interact with pedestrians and cyclists remains a major barrier to the introduction of self-driving cars to the consumer market.

This story was delivered to BI Intelligence IoT Briefing subscribers. To learn more and subscribe, please click here. Google announced Tuesday that its self-driving car technology can now recognize and react to cyclists' hand signals on the road, reported Fortune.

Google might be a hand above its self-driving car competitors, at least when it comes to dealing with cyclists on the road. A new report from the company says the cars, which spent the last month learning hand signals used by cyclists, can now interpret them and consider them when navigating the road, according to a June report of activity from Google. Google first teased this capability's potential back in 2014, and you can check out coverage from Gizmag here. It's a step forward for cyclist safety: innumerable deaths and injuries happen each year because human drivers don't know how to safely navigate and share a road with a cyclist. Of course, on the other side of the equation, cyclists will have to be careful to signal their intentions. Sign up to receive our weekly email newsletter and never miss an update!

When a cyclist signals, its hand motion is registered and the system is able to make an educated guess as to its intended direction. Bicyclists require special on-road considerations that other cars do not, and those considerations aren't limited to humans. Google's own self-driving cars, in fact, have a whole set of unique operations devoted solely to identifying and accommodating our two-wheeled compatriots. Google's monthly self-driving car report focuses on bikes this month. It explains how Big G's cars are able to work alongside cyclists.

Google is working to expand the capabilities of its self-driving vehicle fleet, and according to its latest progress report (PDF), it's making strides in sharing the road with cyclists. One of the ways the folks in Mountain View are doing that is by using onboard sensors to gauge and interpret a cyclist's intent. "Our sensors can detect a cyclist's hand signals as an indication of an intention to make a turn or shift over," the company's June autonomous vehicle report reads. "Cyclists often make hand signals far in advance of a turn, and our software is designed to remember previous signals from a rider so it can better anticipate a rider's turn down the road."