File photo: The planet Mars showing showing Terra Meridiani is seen in an undated NASA image. A million-years-old rock is flying home. The ancient rock, named "Sayh al Uhaymir 008," or "SaU008," was once part of one of a meteorite that landed on Earth after blowing off from Mars millions of years ago. SaU008 was discovered in Oman in 1999 and is the only one of 200 similar rocks that's strong enough to withstand the journey back home, according to NASA. "Every year, we provide hundreds of meteorite specimens to scientists all over the world to for study," Caroline Smith, the principal curator of meteorites at London's Natural History Museum – which provided the rock, said in the press release. "This is a first for us: sending one of our samples back home for the benefit of science."

I originally wrote and published a version of this article in September 2016. Since then, quite a bit has happened, further cementing my view that these changes are coming and that the implications will be even more substantial. I decided it was time to update this article with some additional ideas and a few changes.

Whether financial institutions are looking for improved customer service, risk management, fraud prevention, investment prediction or cybersecurity, the scopes of machine learning and artificial intelligence are limitless. In the modern era of the digital economy, technological advancements are no longer a luxury for the organizations, but a necessity to outsmart their competitors and business growth. With the technological advancements in the recent times, the impact of Machine Learning (ML) and Artificial Intelligence (AI) are very critical than ever before. Previously, we discussed the scopes of big data and data science in banking and financial services. In this article will explain in detail about ML and AI, and their scopes in banking and financial services. Apparently, in order to be successful and making an impact, the banks and financial institutions need to make machine learning and artificial intelligence an expansion of their big data and data analytics approach.

At 8:52 on the morning of January 31, eight buzzing rotors lifted a black bubble of an aircraft off the ground for the first time. About 20 feet from nose to tail and the same from wingtip to wingtip, Vahana spent 53 seconds aloft, under its own power and autonomous control. It reached a height of 16 feet, looming over the runway at Oregon's Pendleton UAS Test Range like a gigantisized quadcopter drone. The flight may not sound like much, but the team from Airbus' Silicon Valley outpost, A 3, and aerospace experts say such flights of experimental aircraft mark the start of a fundamental change in the way we get around. "The revolution of aviation we see today is comparable to the jet age," says Jim Gregory, director of the Aerospace Research Center at The Ohio State University.

In Phoenix, cars are self-navigating the streets. In many homes, people are barking commands at tiny machines, with the machines responding. On our smartphones, apps can now recognize faces in photos and translate from one language to another. Artificial intelligence is here -- and it's bringing new possibilities, while also raising questions. Do these gadgets and services really behave as advertised? How will they evolve in the years ahead?

In the middle of this live stream image of the car, on the center screen, are the words'Don't Panic'. This a reference to The Hitchhiker's Guide to the Galaxy, the 1979 book that was first in a series by Douglas Adams about an accidental space traveler, Arthur Dent Two of the Falcon Heavy's reusable boosters - both recycled from previous launches - returned minutes after lift-off for on-the-mark touchdowns at Cape Canaveral. Sonic booms rumbled across the region with the synchronised vertical landings. However, the craft's third and final booster missed its target - a drone ship in the Atlantic Ocean - by about 328 feet (100 metres). In a press conference after the launch, Musk said early reports show the rocket's central core'hit the water at 300 miles per hour (480kph) and sprayed the drone ship with shrapnel'.

Are China's ambitions to "lead the world" in artificial intelligence (AI) by 2030 credible? China's rapid emergence as an AI powerhouse is often hyped and sensationalized, variously provoking alarm and enthusiasm that can sometimes overshadow the reality of real progress. At the same time, critical challenges remain in China's quest to become "the world's premier AI innovation center" and build up an AI industry of 1 trillion RMB (about $150 billion) in the process. In China's "rise" in AI, the active efforts of private enterprises have predated more recent policy support. However, since the State Council released the New Generation AI Development Plan in July 2017, there have been a number of indicators that its implementation is advancing throughout all levels of government.

WASHINGTON DC – Today, Information Technology (IT) Subcommittee Chairman Will Hurd (R-TX) announced a three-part hearing series on Artificial Intelligence (AI). The IT Subcommittee will identify and define criteria to guide government understanding and adoption of AI.

Last summer, the Defense Science Board's report on autonomy found that investing in artificial intelligence (AI) warfare is a crucial part of maintaining the United States' national security and military capability. As the report reads, "It should not be a surprise when adversaries employ autonomy against U.S. forces." In other words, AI warfare is likely on the horizon; it's just a matter of who gets there first. This immediately sparks dystopian and apocalyptic reactions from most people, who may envision a Terminator-esque system that will at some point choose to overthrow its human masters. The report concludes that "autonomy will deliver substantial operational value across an increasingly diverse array of DoD missions, but the DoD must move more rapidly to realize this value." Meaning that while the value of autonomy is clear from a military perspective, the Department of Defense has to devote more money and time to realize its full potential -- and do so quickly.

Future Tense is a partnership of Slate, New America, and Arizona State University that examines emerging technologies, public policy, and society. While it's certainly not embarrassing or uncommon to use a dating app, plenty of people don't want to broadcast it. For Tinder users, though, that's happening anyway, and it has been for a long time. Despite the fact that the company has known about its app's security vulnerabilities for almost a year now, Tinder hasn't yet made the necessary patches to its network to keep its users' personal information safe. So on Wednesday, Valentine's Day, Oregon Sen. Ron Wyden wrote a lovely note to Greg Blatt, the CEO of Tinder, asking that his company get its act together.