It'll be Earth Day this weekend, and--while you should be mindful of our big blue marble every day--it's still the perfect time to do a little homework and figure out how to dispose of your old TV properly. Whether you've recently replaced your old LED TV with a newer set or have just had a boxy CRT gathering dust in your basement for years, there are much better ways to recycle or pass on these complex devices that have brought you hours of comfort and joy than dumping them unceremoniously on the sidewalk. Here are some options to consider before (or, hopefully, entirely in lieu of) simply throwing your old TV in the trash or on the curb. I save CRTs (tube TVs) from sidewalks all the time, and I've never once brought one home or to Reviewed's office and found that it didn't work. It's a little baffling that someone would take a perfectly functional TV and just toss it out, but it happens.

Over the last few years machine learning has become embedded in a wide variety of day-to-day business, nonprofit, and government operations. As the popularity of machine learning increased, a cottage industry of high-quality literature that taught applied machine learning to practitioners developed. This literature has been highly successful in training an entire generation of data scientists and machine learning engineers. This literature also approached the topic of machine learning from the perspective of providing a learning resource to teach an individual what machine learning is and how it works. However, while fruitful, this approach left out a different perspective on the topic: the nuts and bolts of doing machine learning day to day.

The 2017 holiday shopping season trended better for online U.S. retailers with an estimated 16.6 percent jump in e-commerce sales compared to the same period last year. With a successful holiday season behind them and consumer confidence up, retailers are starting 2018 optimistic. But what can retailers learn from this past holiday season? When we talk to our customers, the biggest challenge in this new era of retailing is just keeping up with customer expectations. Bringing new, differentiated experiences to market is a monumental task.

Artificial Intelligence in smartphones is changing the way enterprises do business as well as the way they reach out to consumers. This is a trending new technology which has great potential and is impacting both B2B as well as B2C companies. Let's take a glimpse of how smartphone AI is evolving and bringing about changes in the business world. It matters how intelligently a business is placed to live up to the technological advancements. If you would visualize something online which you like, you would most likely look for it in an actual physical store before you actually decide to order it.

With that in mind, we've outlined 50 ways in which retailers are putting AI into action, from personalising beauty to forecasting demand. While the predominant function of Sephora's Virtual Artist app is to allow beauty buyers to try on products virtually via augmented reality, the brand recently introduced a colour match tool, powered by AI. This tool determines the particular shade of a product on a photo and suggests similar products available at Sephora that the consumer can then try on and purchase. If there's one sector where AI has been making a lot of noise, it's beauty. Olay's Skin Advisor is an online consultation platform that can tell the true age of a user's skin from a selfie. By using AI to both evaluate and determine problem areas, as well as the overall condition of the skin, it also provides personalised skincare routines and reports.

In 2017, SenseTime announced a series of significant strategic partnerships in China and abroad. With Qualcomm, it initiated an "algorithm chip" collaboration increasing the intelligence of smartphones and other devices. The Company partnered with Honda to provide industry-leading autonomous driving technologies. Working with Suning, the largest consumer electronics retailer in China, the Company has helped to develop the Store of Future, which leverages facial recognition for check-out free shopping as well as customer big data analysis. In February 2018, the prestigious Massachusets Institute of Technology announced that SenseTime was the first company to join its Intelligence Quest project and the two parties created an AI alliance to define the next frontier of human and machine intelligence.

Even though Walmart was founded in 1962, it's on the cutting edge when it comes to transforming retail operations and customer experience by using machine learning, the Internet of Things (IoT) and Big Data. In recent years, its patent applications, position as the second largest online retailer and investment in retail tech and innovation are just a few reasons they are among the retail leaders evolving to take advantage of tech to build their business and provide better service to their customers. Lauren Desegur, VP of customer experience engineering at WalmartLabs said, "We're essentially creating a bridge where we are enhancing the shopping experience through machine learning. We want to make sure there is a seamless experience between what customers do online and what they do in our stores." While its arch nemesis in business may be Amazon.com,

Amazon's acquisition of connected home company Ring is complete, and to celebrate, the online retail giant is offering a nice deal. For a limited time, you can get a Ring Wi-Fi Enabled Video Doorbell in Satin Nickel for just $100. At the time of writing, the doorbell is currently not in stock until April 25, 2018, so people have clearly been taking advantage of this promotion. It's important to note this is for the original Ring doorbell, which was previously $133 on Amazon. The more recent Ring 2 doorbell retails for $199 and is not on sale.

In this exclusive guest piece, Mangal Anandan, Vice President, Products and Solutions for First Insight, Inc., explores some specific applications of machine learning in relation to PLM systems. First Insight empowers retailers and brands to design, select, price and market new products with confidence. Digital transformation will be the key to survival for many retailers and brands. We recently saw Mickey Drexler, who just announced his resignation from J.Crew, admit in a Wall Street Journal article that "he missed it," referring to his underestimation of the speed of change that technology would bring to retail. With the advent of big data, machine learning (ML) and other technologies are introducing new ways to manage everything from customer engagement, to design, to supply chain, to product lifecycle management and beyond.

In The News This Week is a page intended to keep my readers up to speed with anything new that I pickup online or offline that has to do with the robotic world that we are now entering very rapidly. Other pages of this website reviews a number robots that we are using on a daily basis in order to help make our lives easier, or as hobby, sport, or for professional purposes. If you would like to share your experience with any kind of robots you are using, or simply comment or ask questions, please feel free to do so at the bottom of any page or article. My latest article of "In The News This Week" starts from here. A house of 95 m2 / 1,022 sq ft has already been built thanks to this new technique. On the slab of freshly poured concrete, a robot moves on its wheels and makes work tirelessly with his articulated arm. He draws expansive foam cords one above the other to form a shuttering in which he then pour the concrete. This is how he manages to build perfectly insulated walls on each side at a bewildering speed. "It's been an hour and a half since the work began and the walls are already over 80 cm / 31 in. It is not a prototype, he pointed out, but a place that is meant to be useful. The 95 m2 / 1,022 sq ft house was finished by the end of that week and ready for the coming Christmas once the finishing work was completed. After being opened to the public, this T 5 will then be inhabited, a year later, by "traditional" tenants on the Nantes Métropole Habitat waiting list. "This house, which is already certified, says Benoit Furet, teacher-researcher at the University of Nantes at the heart of this project is called Yhnova.