The man has built vehicles and rockets. Up next is domestic robots. Elon Musk, the CEO of Tesla Motors and SpaceX, has initiated the startup OpenAI which will build robots meant to function inside the home environment. By creating a robot from scratch, the machine will be thoroughly tested which is a good thing in the long run. How a machine is able to perform ordinary activities is what is at stake here.

The idea behind app Nexar is ambitious: create a type of air-traffic control system for the road. Catalogue the cars in a given location, track dicey behavior and help drivers avoid dangerous intersections and even bad drivers. Nexar is a free dashcam app that, using artificial intelligence, creates a database of an area's roads and drivers. If car stops short in front of you, even a few cars in front of you, Nexar's database can send you a notification so you'll have more time to brake. If an accident happens around the corner and cars are getting detoured onto your route, the app will tell you.

Transportation of property for compensation or hire allowed provided that The aircraft, including its attached systems, payload and cargo weigh less than 55 pounds total; The flight is conducted within visual line of sight and not from a moving vehicle or aircraft; and The flight occurs wholly within the bounds of a State and does not involve transport between (1) Hawaii and another place in Hawaii through airspace outside Hawaii; (2) the District of Columbia and another place in the District of Columbia; or (3) a territory or possession of the United States and another place in the same territory or possession. If a company or person wants to fly a drone in a way different from these rules, they can do so by applying to the FAA for a Certificate of Waiver, which if granted will give them a legal exception. The rules are a major step towards clarity in the vague world of drone law, though I'm certain there is much still to be decided and discovered in the full body of the rule. Here, if you wish to delve through it, is the full rule.

Machine Learning is something with immense potential and a lot of applications in almost any field but needs a lot of knowledge for entry into the field. It's been a while since I started working on ML. My learning was not academic but a fast paced one to solve business problems. Here's some of the problems which I faced (or might have) and the solutions which I think would help reduce someone's struggle.

While Gupta might have been relieved that he was not taken to task by his stern coach at Prepathon, an online test prep startup founded in September 2015, what he didn't know was that the person he was chatting with on the Prepathon app was not his coach but a bot! Millennials - those born between 1980 and 2000 - are texting more and talking less. And millennials matter because they will account for 40% of all consumers in the US by 2020, as projected by Goldman Sachs. While Jaiswal might be content with one chatbot, others want multiple bots. Aarti Gill is one of them. The cofounder of FitCircle, a chat-based health and fitness platform, boasts 32,000 bot users.

Young people will bear the brunt of Artificial Intelligence (AI) fuelled job losses as smart systems undercut entry-level roles in everything from marketing to retail. Machine learning and expert systems will not destroy jobs wholesale, predicts George Zarkadakis, digital lead at advisory firm Willis Towers Watson, but will remove the need for many tasks that employees have traditionally cut their teeth on at the beginning of their careers. Zarkadakis cited a study by consultants McKinsey, which found that just under one third of activities that make up 60 percent of existing jobs will be automated. Unfortunately for new entrants to job markets, the bulk of these activities will be concentrated in starter roles, said Zarkadakis. "We've done some research ourselves and looked at the impact on entry-level jobs. Jobs that graduates get once they leave university. We found that many of the entry-level jobs are very susceptible to complete obliteration," he told The AI Summit in London.

For most, the term Artificial Intelligence evokes thoughts of futuristic technologies, of C-3PO and Asimov's "I,Robot." We think of walking, sentient robots that look like us – or at least we imagine they appear like us. What we don't generally think of is a glorified speakerbox, or a supercomputer tasked to create recipes. But that's where AI starts – with small steps and incremental advances in technology. These small steps gradually lead to giant leaps forward; think of a narrow canyon off in the distance: you're pretty sure you can jump the canyon, but first you need to get there.

Chris Olah at Google Research has, in a blog post on Tuesday, spelled out the five big questions about how to develop smarter, safer artificial intelligence. The post came alongside a research paper Google released in collaboration with OpenAI, Stanford and Berkley called Concrete Problems in AI Safety. It's an attempt to move beyond abstract or hypothetical concerns around developing and using AI by providing researchers with specific questions to apply in real-world testing. "These are all forward thinking, long-term research questions -- minor issues today, but important to address for future systems," said Olah in the blog post. Google has made no secret about its commitment to AI and machine learning, even having its own dedicated research branch, Google DeepMind.

Hisashi Taniguchi took a sabbatical from developing software for driverless taxis and drones to pilgrimage to a Buddhist temple in western Japan. He shaved his head, donned black robes and studied to become the shrine's leader. He passed the test, yet within a week was back at the Tokyo offices of ZMP Inc., overseeing his robotics company in a more-typical wardrobe of jeans and red Converse sneakers. As ZMP's founder and chief executive officer, he tries to sync millennia-old teachings with efforts to make artificial intelligence part of everyday life. "The temple teaches you that if you shine, you'll shed light on those around you," Taniguchi, 52, said.

Now your videos of surfing, skiing, snowboarding, motocross…and all those other zany activities will be easier than ever to edit, thanks to machine learning and a new attachment known as Pik'd. Pik'd is meant to help you ensure that fun and adrenaline are the protagonists of your footage, and not much time or concern needs to be devoted to post-production. The communication between the technologies works automatically, so the user doesn't have to manipulate the device. All you have to do is attach the tech to your GoPro and record. Once the images have been captured, connect the camera to the computer and open the Pik'd software, which will be supplied free of charge.