Lakeland is using artificial intelligence to reduce the number of deadly car crashes. We've all seen that driver who speeds into the intersection trying to beat the red light. The City of Lakeland is using artificial intelligence so that traffic signals can identify reckless drivers before they cause a crash. "It will tell us as a car is approaching the intersection, the likelihood of it stopping," said Jeff Weatherford, traffic operations manager for the City of Lakeland. Lakeland's Intersection Collision Avoidance Safety Program, or iCASP works by delaying the green light of cross-traffic up to four seconds, when sensors detect a vehicle is going to run a red light.

A startup company called Ghost has raised $100 million Series D financing, fueling the development of its autonomous driving system that features what it describes as "a revolutionary breakthrough in crash prevention". Returning investors Sutter Hill Ventures and Founders Fund participated in the round, along with a new commitment from Coatue. Ghost was founded in 2017 with the belief that driving should not be dangerous. Despite all the technology and features included in modern cars, cars still crash – accidents and fatalities are going up, not down. Even semi-autonomous and fully autonomous vehicles struggle to recognize and avoid every potential obstacle on the road, instead relying on human intervention to handle edge cases and prevent crashes.

One particularly stressful part of using the pre-planned flight modes is that the craft might hit a tree branch of some other overhanging obstacle. In order to combat that, DJI added an infrared sensor to the top of the craft with a range of roughly 25 feet. This is a nice addition because, as many aspiring drone pilots will tell you, the ascent is often more stressful than the descent. Our full review later will report just how nimble this thing is on its own, but in my limited experience so far, it seems like an improvement over the Mavic Air's already-excellent system. Now that it's adept at sensing things that are behind it, the Mavic 2 Zoom also adds a new automated flight mode called Dolly Zoom, which involves zooming in while flying backward to create a unique effect like you see in the movies without worrying about smashing it into your garage, which may or may not be what happened with a previous drone during its review.

Tesla's autonomous driving technology is being called into question yet again. In the wake of a handful of fatal crashes, the electric car company reportedly considered adding eye-tracking technology to its self-driving automobiles, as part of an effort to make sure drivers used Autopilot safely and to reduce accidents. But several executives, including CEO Elon Musk, ultimately decided against the technology, due to its costly nature, possible ineffectiveness and potential to annoy drivers, the Wall Street Journal reported, citing sources close to the situation. Tesla reportedly considered adding eye tracking sensors to its vehicles to prevent crashes during Autopilot mode. That's despite developers of Tesla's Autopilot system saying there weren't enough safeguards to make sure drivers remained alert while operating the technology.

Hundreds of drones are expected to hit the Singapore skies in the near future, but with limited airways and a dense population, many question how they will safely fly over the city. Now, researchers have unveiled a traffic management system, which is much like the traffic laws and infrastructure cars have on roads. Named Traffic Management of Unmanned Aircraft Systems, this initiative would designate air-lanes and use virtual fences to reroute drones around restricted geographical locations. Traffic Management of Unmanned Aircraft Systems is the brainchild of Nanyang Technological University (NTU), Singapore. The team has been studying different ways for drones to fly efficiently and safely - even with hundreds in the sky.