General Motors, the US's 10th-largest company by revenue, is eager to lay the groundwork for future growth by developing self-driving technology. But its shareholders are dubious of too much spending as revenue declines--it fell 5.5 percent last year. Japanese conglomerate SoftBank has the opposite problem: A giant pile of cash, and not enough opportunities to spend it. The company's Vision Fund does not make investments smaller than $100 million; there are only so many startups worthy of such a large check. That's why the firm has taken a loose interpretation of its artificial intelligence-focused investment thesis, including aspects of human needs that won't be replaced by technology.

It could be the answer to the ever more invasive facial recognition systems used by Facebook, Google and others to try and identify you in every picture put online. Researchers at the University of Toronto have revealed AI software than can tweak your snaps so you can't be identified. They say their Instagram-like filter can tweak pictures so they look the same to human eyes, but disrupt machine learning systems used by web giants to identify users. Researchers from the University of Toronto have developed an algorithm specifically designed to disrupt facial recognition systems. The technology uses a deep learning technique called adversarial training, which puts two artificial intelligence algorithms against each other.

"Digitizing" store shelves is a new imperative for Coca-Cola and other CPG companies. In the face of changing consumer behavior and the new retail playbook scripted by Amazon, CPG brands have raced to hop on the "digitization" bandwagon to erase the advantage e-commerce has over brick-and-mortar retail. Now add this area to their get-even list: store shelves. For decades, CPG companies like Coca-Cola have conducted manual audits and surveys to see if, how and where stores stock their goods on shelves, as well as find out if their goods are next to rivals' products and if any out-of-stock items have been replenished. Thanks to technology, this old-school and time-consuming process, prone to human errors, is increasingly being dropped as CPG brands seek to bridge the gap between what they can see in stores and online.

Ever since a Dutch cloth merchant accidentally discovered bacteria in 1676, microscopes have been a critical tool for medicine. Today's microscopes are 800,000 times more powerful than the human eye, but they still need a person to scrutinize what's under the lens. That person is usually a pathologist -- and that's a problem. Worldwide, there are too few of these doctors who interpret lab tests to diagnose, monitor and treat disease. Now SigTuple, a member of our Inception startup incubator program, is testing an AI microscope that could help address the pathologist shortage.

Let's make some coding practice… In the first step, we will load required dependencies: nltk, re, pandas, and numpy. Then, we construct a document array named docs which includes sample documents. After initialization of doc array, we construct pandas data frames that is a 2-dimensional labeled data structure. Pre-processing is one of the most important step to prepare text documents "before any ML or DL task". Tokenization, stop-words elimination and stemming are the most widely used pre-processing methods.

Researchers have developed a way to integrate living muscle into machines to create a biohybrid robot. Reported in the journal Science Robotics, the study was undertaken at the University of Tokyo Institute of Industrial Science and demonstrates how the researchers developed the use of living tissue within robots, rather than just metal and plastic. Scientists are working on a project that sounds like they're creating a cyborg The new method progresses from individual muscle precursor cells, to muscle-cell-filled sheets, and then to fully functioning skeletal muscle tissues. They were able to incorporate these muscles into a biohybrid robot as antagonistic pairs mimicking those in the body to achieve remarkable robot movement and continued muscle function for over a week. To develop the muscle-powered robots, the team first constructed a robot skeleton on which to install the pair of functioning muscles.

Computex marks the midpoint of the technology calendar, an oasis of new hardware in an otherwise barren summer. In the first week of June, Taipei plays host to PC makers and startups showing off what they think is the next big thing. Just before team Engadget sets off to sample everything the show has to offer, here's what we're expecting to see. ASUS dominates Computex, and it's likely that the company will be behind plenty of the most talked-about gadgets. The PC maker will, as custom, break its events in two: the first for its Republic of Gamers sub-brand, the latter for its own brand products.

In early 2017, we published the German AI Landscape, and later in 2017, we created the European AI Landscape. We determined that London, Paris, and Berlin were strong individual hubs for Artificial Intelligence. However, we wanted to know how cumulative Europe compares to the global AI landscape. We started by collecting a list of over 7,500 companies claiming to build Artificial Intelligence solutions. We cleaned the data, sorted, and analyzed it.

What if a car is operated by hand gestures or an automated rover that cleans the floor? Well, around 90 engineering students from Andhra Pradesh and Telangana are working on such innovative concepts to make them a reality. The students, all final year engineering students from reputed educational institutions in the two Telugu States, are here in the city for a two-month internship programme as part of which they work on several artificial intelligence-based projects and developing apps to understand the nitty-gritty of the Internet of Things (IoT). Students from National Institute of Technology (NIT) Warangal, GITAM College of Engineering in Visakhapatnam and GMR Institute of Technology in Srikakulam among others have formed a talent pool that is working simultaneously on various software projects. They have made two floors of a three-storied building at Atchampeta on the city outskirts their workplace while they are putting up in paying guest accommodations and rented houses near their office premises.

General Motors announced Thursday that Japan's SoftBank will pour $2.25 billion in the automaker's self-driving business, in a significant deal experts say boosts GM's chances to be the first company to deploy autonomous cars nationwide. In exchange for the investment, GM said the investment firm will receive a nearly 20 percent equity stake in GM Cruise, the Detroit company's autonomous vehicle unit. GM's stock soared following the announcement, climbing more than 10 percent in morning trading. The partnership comes as leading technology companies and automakers, including Alphabet's self driving division Waymo, and Tesla are scrambling to pioneer the market for fully autonomous cars. GM said in a press release Thursday the investments are expected to provide the capital necessary to "reach commercialization at scale" next year.