Amazon customers have been warned they could lose hundreds of pounds if they fall for a "convincing" fake email scam. Action Fraud, the UK's fraud and cyber-crime centre, said the spoofed emails from "service@amazon.co.uk" claims recipients have made an order online and mimic an automatic customer email notification. The number of people who have been sent the fake email is unclear, however Action Fraud said it had received several reports about the scam. The email claims shoppers have ordered products including an expensive vintage chandelier, Boses stereos, iPhone's and luxury watches. In order to get a shopper's financial information, the email cleverly states that if the recipient didn't authorised the transaction they can click on the help centre link to receive a full refund.

After two days of media-only events, the Consumer Electronic Show officially began with thousands of innovative gadgets from both well known names and emerging brands. Smart assistants have so far been a major theme of the show, but the first day also brought video-recording glasses, adorable robots, and lots of virtual reality. Depending on Olly's mood, its face will light up in different colors. It also swivels around on its base to look at you when you're speaking to create a more personal experience, the Olly team told Dailymail.com Among the many devices on display today was the'emotional' Olly smart assistant.

Liviu Babitz opens his collar to reveal a small silicone gadget, the size of a matchbox, attached to his chest with two titanium bars that sit just under the skin. Most resembling a compact bike light, the North Sense that Babitz has attached is an artificial sense organ that delivers a short vibration every time the user faces North. Babitz and Scott Cohen, co-founder at Cyborg Nest, the company that created North Sense, are currently the only two using the product, which will soon be shipped out to clients who have pre-ordered it over the last few months. "Around us is an entire universe we don't perceive," Cohen explains. "As we walk down the street there's radiation, X-rays, infrared and ultraviolet, as well as the electromagnetic field of the planet. So we want to create new senses to become aware of our environment."

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Panasonic's vision for the future of autonomous driving is complete with surface-top 4K tablet displays, smart materials, and augmented reality. The firm revealed its Autonomous Cabin Concept at CES in Las Vegas, showing how driverless cars could soon allow your vehicle to be just like your living room. The concept not only aims to make the passengers' experience more enjoyable, but they say it could also make mobility much safer. Panasonic's vision for the future of autonomous driving is complete with surface-top 4K tablet displays, smart materials, and augmented reality. Some of the technology involved in the Autonomous Cabin Concept for the car's interior is shown above Exhibitors from Panasonic Europe at CES told Dailymail.com

In this article, I cover the 12 types of AI problems i.e. I address the question: in which scenarios should you use Artificial Intelligence (AI)? Recently, I conducted a strategy workshop for a group of senior executives running a large multi national. In the workshop, one person asked the question: How many cats does it need to identify a Cat? This question is in reference to Andrew Ng's famous paper on Deep Learning where he was correctly able to identify images of Cats from YouTube videos.

Nvidia Founder, President and CEO Jen-Hsun Huang introduces the Nvidia Spot, a USD 49.95 microphone and speaker that will let owners use Google Assistant anywhere in a home, as he delivers a keynote address at CES 2017 (Photo: Ethan Miller/Getty Images) LAS VEGAS--Nvidia is best known for the high-end computer graphics cards prized by hardcore gamers. If co-founder and CEO Jen-Hsun Huang delivers on his bold vision, more people are likely to recognize Nvidia as the powerhouse behind artificial intelligence in your home and in your vehicle. Clad in his trademark black leather jacket, Huang delivered a high energy opening night keynote address Wednesday night at CES, assuming a prestigious speaking slot that for years was reserved for Microsoft's Bill Gates and later his successor Steve Ballmer. Nvidia (NVDA) is already a star on Wall Street. It is coming off a two-year hot streak, with a particularly sizzling 224% gain in 2016 that made it the top performing stock in the S&P 500.

It's a fair question in light of attempts by authorities investigating the slaying of an Arkansas man to obtain voice recordings collected by an Amazon Echo speaker and its Alexa digital assistant. Yet the popularity and capabilities of voice-enabled products such as the Echo continue to grow. At the CES gadget show in Las Vegas, which opened Thursday, Whirlpool, Samsung and other manufacturers are unveiling new ways to use voice services to control laundry machines, refrigerators and other home systems. John Herrington, senior vice president of Samsung Electronics America, unveils new refrigerators with Family Hub 2.0 during a Samsung news conference before CES International, Wednesday, Jan. 4, 2017, in Las Vegas. Family Hub 2.0 features an interface on the refrigerator with apps that can be controlled by voice recognition.

If 2016 seemed politically tumultuous, 2017 promises to be equally tumultuous on the technology front. The pace of change is accelerating at a dizzying rate, with profound implications for the way we we work, play and communicate. So what are the big technology trends to watch out for in 2017? Cybersecurity will undoubtedly be the dominant theme of 2017, as all tech innovations could be undermined by data thefts, fraud and cyber propaganda. Forget Kim Kardashian, it's hacking that could break the internet - and much more besides.

In this article we will discuss the machine learning method called "decision trees", moving quickly over the usual "how decision trees work" and spending time on "why decision trees work." We will write from a computational learning theory perspective, and hope this helps make both decision trees and computational learning theory more comprehensible. The goal of this article is to set up terminology so we can state in one or two sentences why decision trees tend to work well in practice. Newcomers to data science are often disappointed to learn that the job of the data scientist isn't tweaking and inventing new machine learning algorithms. In the "big data" world supervised learning has been a solved problem since at least 1951 (see [FixHodges1951] for neighborhood density methods, see [GordonOlshen1978] for k-nearest neighbor and decision tree methods).