Aldi customers have been warned to stay away from hoax vouchers circulating on email and social media which trick shoppers into thinking that they can save money. The German retailer said the £65 vouchers, that circulated on platforms such as Facebook and Twitter, are worthless and will not be accepted as legal tender at their stores. Aldi said it was investigating the scam and urged customers not to share their personal details, which could help scammers to commit identity fraud. "We advise customers to ignore these adverts and not to share any personal information," the supermarket said in a statement sent to the Independent. On Twitter, the supermarket said: "We are aware that there is a hoax £65 Aldi voucher being circulated. This voucher is fraudulent and cannot be redeemed in store."

Stocks lost further ground on the Tokyo Stock Exchange on Tuesday, weighed down by the yen's ascent. The 225-issue Nikkei average fell 65.71 points, or 0.34 percent, to close at 19,455.88. On Friday, the key market gauge gave up 68.55 points. The Tokyo market was closed on Monday for a national holiday. The Topix index of all first-section issues ended down 2.43 points, or 0.16 percent, at 1,563.42, after shedding 6.84 points on Friday.

Making TVs "smart" is one thing, but being able to use them smartly and to their full potential is another. Smart TVs have come a long way since Samsung first introduced theirs as a "connected-TV" back in 2009. In 2011, Samsung was the first to use the term "Smart TV" that converged the computer and its integrated internet, a conventional TV, and set-top boxes. TVs remain the primary gateway for easy content consumption in the home, despite the fact that it no longer holds a monopoly thanks to the compatibility of PCs, tablets, and smartphones for viewing content. Gimmicky features and other functions that overlapped with other screened devices introduced in earlier launches have disappeared, and TV remains the best device to watch content.

Unsupervised learning, in particular learning general nonlinear representations, is one of the deepest problems in machine learning. Estimating latent quantities in a generative model provides a principled framework, and has been successfully used in the linear case, e.g. with independent component analysis (ICA) and sparse coding. However, extending ICA to the nonlinear case has proven to be extremely difficult: A straight-forward extension is unidentifiable, i.e. it is not possible to recover those latent components that actually generated the data. Here, we show that this problem can be solved by using temporal structure. We formulate two generative models in which the data is an arbitrary but invertible nonlinear transformation of time series (components) which are statistically independent of each other.

A park in Beijing has installed toilet paper dispensers with facial recognition to stop visitors from taking too much loo roll, media reports say. Machines at the Temple of Heaven park scan visitors' faces before dispensing a fixed length strip of paper. The tourist attraction is reportedly frequented by visitors who take large amounts of loo roll home. It has reignited debate over the lack of social graces among some Chinese. Park officials have installed six machines at its public bathrooms in a half-month trial, with staff on standby to explain the technology to visitors.

Gabrielle Douglas of the United States of America competes on the balance beam in the Artistic Gymnastics Women's Team final in the London 2012 Olympic Games. Steve Penny resigned as USA Gymnastics president last Thursday, following accusations of negligence in the sport's yearslong sexual assault scandal. Our eyes turned abroad last week, as Secretary of State Rex Tillerson visited South Korea and said "the policy of strategic patience has ended" for its neighbors to the north; the White House said it wouldn't repeat false claims that a British electronic intelligence agency helped with alleged (unproven) wiretapping of Trump Tower; and German Chancellor Angela Merkel, delayed by the snow, finally made her first visit to President Donald Trump, complete with an awkward handshake that wasn't. At home, a Hawaii judge also said "not so fast" to Trump's revised travel ban that for the second time looked to restrict which people can enter the country. Here are five stories -- that have nothing to do with Trump, Tillerson or The Spokesperson In Chief -- you might have missed in all of the globetrotting.

TechCrunch is pleased as punch to announce our first-ever robotics event: TechCrunch Sessions: Robotics, on July 17 in Boston at MIT's stunning Kresge Auditorium. We are also happy to announce that MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) is a key sponsor. Our event is absolutely global, but there is no better place to stage the gathering than Boston. Beantown has one of the highest concentrations of robotics companies in the world -- 122 and counting -- as well as many of the world's most important research and education facilities. Robots are suddenly here like never before.

On the opening day of the 12th Asia Conference on Healthcare and Health Insurance, delegates were informed of how increasing connectivity and automation has enabled new paradigms in patient care. And given how the healthcare sector is transforming itself as a smart industry, health insurers have both the obligation and opportunity to increase its level of engagement with policyholders – as both a means to manage cost as well as make a difference to well-being of its customers through preventive care. These may include the use of mobile health apps, wearables and tools to establish a strong connection between patients and healthcare partners. Additionally, insurers can engage in health coaching by using digital tools for patient engagement and shared decision making. As patients bring their customer experiences from other sectors into healthcare, there is increased demand for information and self-empowerment.

Train Suit Shiki-Shima, a 10-car luxury train including a diner, a lounge and a cypress bathtub, had been on a test run Monday when a "breakdown" sign showed up on the operator's monitor, forcing the driver to halt the train at around 2 p.m. The train had originated at Tokyo's Ueno Station. The driver could not detect any trouble and resumed the run. But then the train came to a halt at around 3:50 p.m., according to JR East. JR East officials suspect engine trouble and are investigating.

Current approaches for Knowledge Distillation (KD) either directly use training data or sample from the training data distribution. In this paper, we demonstrate effectiveness of 'mismatched' unlabeled stimulus to perform KD for image classification networks. For illustration, we consider scenarios where this is a complete absence of training data, or mismatched stimulus has to be used for augmenting a small amount of training data. We demonstrate that stimulus complexity is a key factor for distillation's good performance. Our examples include use of various datasets for stimulating MNIST and CIFAR teachers.