Ford Motor is spending $1 billion to take over a budding robotics startup to acquire more expertise needed to reach its ambitious goal of having a fully driverless vehicle on the road by 2021. The big bet announced Friday comes just a few months after the Pittsburgh startup, Argo AI, was created by two alumni of Carnegie Mellon University's robotics program, Bryan Salesky and Peter Rander. The alliance between Argo and Ford is the latest to combine the spunk and dexterity of a technologically savvy startup with the financial muscle and manufacturing knowhow of a major automaker in the race to develop autonomous vehicles. Last year rival General Motors paid $581 million (roughly Rs. 3,890 crores) to buy Cruise Automation, a 40-person software company that is testing vehicles in San Francisco. The Argo deal marks the next step in Ford's journey toward building a vehicle without a steering wheel or brake pedal by 2021 - a vision that CEO Mark Fields laid out last summer.

The convergence of major trends in the digital landscape is a phenomenon that redefines the future of the IT industry. However, these changes must be embraced with agility and diligence. Artificial Intelligence or AI is the most intriguing development ever made in this field. It is a vast concept that involves many disruptive technologies including machine learning. Now, the researchers are eyeing an iconic change to evolve by the combination of big data and AI. AI has become pervasive in every industry.

Despite more than 50 years of experimentation with artificial general intelligence (AGI), mankind still hasn't achieved the goal of creating a single machine that can perform all cognitive tasks as well as humans can. But what if there was a way to attain AGI-level artificial intelligence (AI) using today's technology? The fact is that artificial narrow intelligence (ANI) systems are already available that can approximate the capabilities of AGI by employing multiple cognitive engines in a parallel-processing architecture. And with the number of commercially-available cognitive engines expanding exponentially, this approach will enable ANI to rapidly overtake and even surpass human capabilities. Moreover, with the AI market set to expand by nearly a factor of 60 from 2016 to 2022, this method represents the best way for companies to capitalize on the industry's growth potential.

It's relatively easy to develop a drone that can fly on its own, but it's another matter developing one that can navigate the many obstacles of real life. That's where Microsoft thinks it can help. It just published an open source simulator, the Aerial Informatics and Robotics Platform, that helps designers test and train autonomous machines in realistic conditions without wrecking expensive prototypes. The tool has vehicles move through randomized environments filled with the minutiae you see on a typical street, such as power lines and trees -- if your drone can't dodge a tree branch, you'll find out quickly. You can see what the vehicle would see (including simulated sensor data), and the software ties into both existing robotic hardware platforms and machine learning systems to speed up development.

Around the time Raj Bhan injured himself, he decided to part ways with the data team at Netflix. He'd been training for a half marathon and plucked a regimen from the web. Unfortunately, he had grouped himself into the wrong bucket and hurt his leg. "That struck a chord," he says. "People can suffer adverse effects from being in the wrong program at the wrong time. Fitness programs really need to be personalized."

Pathology as it is practiced now is very subjective,

Applications such as spam filtering, economic forecasting, and Netflix recommendations are powered by algorithms that allow computers to learn from and make predictions based on vast collections of data. But even as machine learning has purged e-mail inboxes of Vi@gra, the technology has been slower to infiltrate chemistry. As described in this collection of stories, however, the gap is starting to fill. Some researchers are . . .

CBS station KFMB put in calls to the Navy and Air Force Monday night about the striking launch off the coast of Los Angeles, which was easily visible from the coast, but the military has said nothing about the launch. KFMB showed video of the apparent missile to former U.S. Ambassador to NATO Robert Ellsworth, who is also a former Deputy Secretary of Defense, to get his thoughts. It takes people\'s breath away,\" said Ellsworth, calling the projectile, \"a big missile\". Magnificent images were captured by the KCBS news helicopter in L.A. around sunset Monday evening. The location of the missile was about 35 miles out to sea, west of L.A. and north of Catalina Island.

Artificial intelligence (AI) can be understood as a science, engineering and deployment of machines, which perform tasks with intelligence as similar to humans. Since its inception 60 years ago, AI has observed significant growth in recent years. Initially, AI was considered as topic for academicians, though in recent years with development of various technologies, AI has turned into reality and is influencing many lives and businesses. Additionally, evolution of various other supplementary technologies such as cloud computing, machine learning and cognitive computing are collectively paving the growth of the market for AI. According to Mr. Sachin Garg - Associate Director at MarketsandMarkets who tracks the global semiconductor market, the global artificial intelligence chipset market is expected to be worth USD 16.06 Billion by 2022, growing at a CAGR of 62.9% between 2016 and 2022.

NVIDIA (NASDAQ:NVDA), the leader in the graphics processing industry, has been growing like gangbusters. Its performance over the last several years has been nothing short of stunning, and investors will rightly want to know if this growth can continue. Below, we look at several key financial metrics to provide insight into the company's future potential. Revenue gains were the largest driver of results. In its recent earnings release, NVIDIA announced record quarterly revenue of $2.17 billion, which grew 55% over the prior-year quarter, as well as record full-year revenue of $6.91 billion, up 38% over the prior period.