Whether you want a pair of hardcore mountain climbing gloves or just something to keep your hands warm when walking the dog, REI has them all on clearance. We may earn revenue from the products available on this page and participate in affiliate programs. Cold weather is right around the corner, and even if you're not spending your time in -70-degree temperatures like the researchers at the Mount Washington Observatory, you're going to want to keep your hands warm. Right now, REI has more than 100 pairs of gloves on clearance. They range from burly models built for mountaineering, to basic hand warmers that let you use your phone while wearing them.

By stripping away the fabric tape that's held zippers together for a hundred years, Japanese clothing giant YKK is designing the future of seamless clothing. For more than a century, the zipper has stayed more or less the same: two interlocking rows of teeth, a sliding pull, and the fabric tape that holds it together. Billions are used every day, yet few people ever stop to think about how they work. Now, after a hundred years of stasis, YKK, the Japanese company that makes roughly half the world's zippers, has decided it's time to rethink the mechanism that holds much of modern clothing together. Their new AiryString zipper looks ordinary at first glance.

How long does it take to identify the helmet of a hiker lost in a 183-hectare mountain area, analyzing 2,600 frames taken by a drone from approximately 50 meters away? If done with a human eye, weeks or months. If analyzed by an artificial intelligence system, one afternoon. The National Alpine and Speleological Rescue Corps, known by it's Italian initialism CNSAS, relied on AI to find the body of a person missing in Italy's Piedmont region on the north face of Monviso--the highest peak in the Cottian Alps--since September 2024. According to Saverio Isola, the CNSAS drone pilot who intervened along with his colleague Giorgio Viana, the operation--including searching for any sign of the missing hiker, the discovery and recovery of his body, and a stoppage due to bad weather--lasted less than three days.

He can be contacted at m.bibhas@gmail.com) "Artificial intelligence is kind of the second coming of software". Instead of serving as a replacement for human intelligence and ingenuity, artificial intelligence is generally seen as a supporting tool. Prior to exploring the many ways how Artificial Intelligence (AI, hereafter) can be defined or recognise potential opportunities and challenges in machine or deep learning, common debates seem to first point out some of the ethical concerns that AI brings in the contemporary society. Policy makers and scientists thinks that AI: a) with increased automation technology would give rise to job losses, B) embodying the sophistication and complexity of AI would call for redeployment or retrain employees to keep them in jobs, C) will trigger the effect of continual machine interaction on human behaviour and attention; D) ignites the need to address algorithmic bias originating from human bias in the data; E) will develop the need to mitigate against unintended consequences, as smart machines are thought to learn and develop independently.

Some people think that Artificial Intelligence (AI) is nothing more than a buzzword, but in reality (not artificially!) the use of AI is increasing all around the World in many areas – and none more so than the e-commerce sector. Retail in e-commerce is continuously growing at an impressive rate globally, with total sales values more-or-less doubling from $1.4bn to $2.8bn from 2014 to 2018, according to Statista. At the same time as sales are increasing, the use of AI is on the rise too: Gartner predicts that 25% of customer service operations will be using virtual customer assistants by 2020, whilst Servion Global Solutions say that AI will power 95% of all customer interactions, including live telephone and online conversations, by 2025. Find out where different corporations are incorporating AI and machine learning into the everyday running of their businesses. The North Face is a large e-commerce retailer in the clothing and outerwear industry and they are a great first example of a company using AI to help them better understand their customers' wants, needs and buying habits.

Like many one-note fashion brands before it, luxury lingerie brand Cosabella wants to become a lifestyle brand. Cosabella is using artificial intelligence and machine learning to track customer behavior, high- and low-performing products, and popular silhouettes and color patterns to predict what new categories and pieces will sell. "The smarter we get with AI, the longer our customer stays with us. The longer a customer stays with us, the better we get at improving product, fit, fabric and silhouette," said Cosabella CEO Guido Campello. Cosabella, which sells its items globally through its own channels as well as through wholesale partners like Nordstrom and Bloomingdale's, operates a 100-person team.

A chatbot is an intelligent computer program which is able – well – to converse with people. Chatbots can provide helpful services like for instance selling pizza to hungry office workers or quickly getting you the T-shirt you need. These digital fellows have been around for a while but 2016 saw the beginning of a real boom in this space and the trend continues. Major brands such as H&M, The North Face, Domino's, Subway, Uber, Bank of America and others employed the services of chatbots on platforms such as Facebook Messenger, Twitter and Slack. Chatbots come in two flavours.

We'll be discussing Watson, of course, but also artificial intelligence, machine learning, and--most importantly--how businesses use these tools to better understand their customers, partners, and how they operate their businesses. Read or watch our full discussion below. Dan Costa: A lot of people have seen the IBM Watson commercials on TV, and they know that Bob Dylan had something to do with this in some vague way, but how would you define Watson as a product? Mark Simpson: Watson's a cognitive computing product, which can learn like humans. It learns, it understands, it reasons in the same way that humans do and can be taught over time. So that computing can be applied into many different areas ... Essentially it is a trusted advisor that we can give to humans that can take in masses of data and help them in the decisions that they make, augmenting their intelligence. I think that's the phrase that has stuck with a variety of people.

From artificial intelligence to virtual reality, emerging technologies are rewriting the retail playbook at a rapid pace, suggests J. Walter Thompson Intelligence in a new report called Frontier(less) Retail. Launched in collaboration with WWD, the report explores the idea that brands and retailers are increasingly putting innovation at the core of their strategies. This relates to everything from digital integration through to the more future-looking technologies helping to shift their businesses forward. Rebecca Minkoff has boosted sales with smart mirrors in dressing rooms, it notes, while Kate Spade has had a hit with Everpurse, a smartphone-charging handbag. It also attributes the success of Under Armour in part to its positioning as a tech-forward brand, and references Topshop's new incubator program, Top Pitch, as a clever bid to achieve the same at a time when its young consumer base is more likely to spend on smartphones than splurge on streetwear. Within all this, however, it is keeping abreast of change that is proving one of the industry's biggest challenges.

The primary application of artificial intelligence in retail is customer service chatbots, intelligent search tools, and personalisation. Despite knowing where to put their money, only a handful of retailers in the UK have trialled AI due to it being prohibitively expensive. Most AI investment in 2017 will be targeted towards e-commerce -- though Amazon is something of an exception. Amazon intends to use AI to replace in store cashiers in its Amazon Go stores to detect products shoppers have picked up. Over the next five years a growing number of retailers will buy into AI as it becomes more affordable. Here's where some big players are putting their money: Most retailers use algorithms to suggest similar items or items bought by other customers already, but in 2016 John Lewis was one of the first retailers in the UK to implement an artificially intelligent visual search tool for its iPad app.