Estimated to be worth $3T by the end of the decade, per CB Insights' Industry Analyst Consensus, the fashion industry is growing at a fast pace, led by cutting-edge technologies. From robots that sew and cut fabric to AI algorithms that predict style trends, VR mirrors in dressing rooms, shopping off the runway and a number of other innovations show how technology is automating and evolving the industry. In 2016, Google collaborated with online fashion platform Zalando and production company Stinkdigital to launch predictive design engine, Project Muze. The algorithm consisted of a set of aesthetic parameter and trained a neural network to comprehend colours, textures and styles derived from Google Fashion Trends Report and data sourced by Zalando -- to create designs in sync with with style preferences identified by the network. Amazon is taking an algorithmic approach to fashion as well.

"So I started to scope building one," he said. The result is Champions Place, a residence for young people with physical disabilities that doubles as a user-research center for companies developing accessible products. The facility in Johns Creek, Ga., opened in October to its first 14 residents, six years after Mr. Thompson co-founded the nonprofit Champions Community Foundation to begin financing the project. The space aims to be fully accessible for people with conditions such as spina bifida and cerebral palsy, who often rely on a wheelchair. Alongside providing a shared home for residents, Champions Place aims to be a social hub for members of the Titans, the 80-person strong wheelchair sports group Mr. Thompson created with five other families in 2009.

The fashion industry did $3 trillion in business, 2% of global GDP in 2018; e-commerce fashion amounted to $520 billion in 2019. AI is poised to revolutionize the fashion industry by providing insights into fashion trends, purchase patterns, and enabling better inventory management. Capgemini, the French consulting services multinational, estimated that global annual spending on AI by retailers is projected to hit $7.3 billion by 2020, and AI could help retailers save a potential $340 billion annually by optimizing processes and operations, according to a recent account in T_HQ technology and business. The global brand H&M has been applying AI solutions to boost business operations. One example is a system to organize and allocate masses of unsold stock to retail stories with highest demand, reducing the need for discounted sales.

Shop and save even more this weekend on robot vacuums, streaming sticks and more. Purchases you make through our links may earn us a commission. Editor's Note: Prices may have changed since the weekend for these deals. Quarantine or no, it's still a great time to kick back, enjoy a cup of coffee, but most of all, just relax. It can also be a fun time to shop for the best Amazon deals, since you have more time to read reviews, compare prices and hunt for the biggest bargains out there.

The fashion industry all across the globe is moving swiftly. There is no doubt in the fact that by nature the field of fashion is extremely malleable. Almost every season, it transforms into something completely new. This industry is revolving around the perpetual dynamics of transformations and a continuous introduction to fresh ideas. Over the last few years, the fashion runways have been flourished with a plethora of innovative changes. Out of all, artificial intelligence has to be the main game-changer.

A new partnership between computing giant IBM and The Fashion Institute of Technology (FIT) in New York is aiming to embed AI into the full spectrum of the fashion industry. The partnership will see a suite of artificial intelligence (AI) tools covering deep learning, natural language processing and computer vision applied to the fashion industry, across design and development, merchandising, supply chain and retail. It will see the FIT/Infor Design and Technology Lab (DTech Lab) build on a previous partnership with the technology heavyweight, which saw the DTech Lab work with IBM and leading fashion brand Tommy Hilfiger. The project, Reimagine Retail, focused on using AI to increase the brand's competitive position through optimisations in product design, supply chain and market insights. "Reimagine Retail was a powerful example of what happens when fashion partners with a global tech leader to advance challenging innovations," said Michael Ferraro, director of the FIT/Infor DTech Lab.

Amazing smartphone applications help in several activities, from ordering food, checking directions while driving, keeping an eye on the house's back door, to monitoring sleep patterns. Mobile apps have managed to influence and transform almost every aspect of life. The introduction of AI (Artificial Intelligence) and ML (Machine Learning) has made them even more capable, powerful. Image and voice analysis, self-learning, and app security have reached a new level due to these advanced technologies. Put simply; both these technologies have helped in integrating intelligence in the app and transformed the way people interact and work.

These days we talk so much about artificial intelligence and its creators that it's easy to overlook the increasingly prolific role AI itself is playing in product creation and design. Across different industries, the technical and the creative are being drawn closely together to create a range of products that may otherwise never have been conceived. Take, for example, the new aerodynamic bicycle presented this month at the International Conference on Machine Learning, which was designed using Neural Concept software. By employing AI in the design phase, a small team from French college IUT Annecy were able to completely bypass the usual methods of testing for aerodynamism – a process that usually requires a great deal of time and computing power. Instead of engineers having to conceive and then simulator-test several different iterations of bicycle design, the technology simply took specifications for length and width, and then rapidly swept through an array of different shapes to determine which was most optimal.

Well if sci-fi is about speculating what might be, then it could very well be right about AI (except hopefully for any terrible consequences). Because machines are getting super smart and that means big things for us all. Artificial intelligence or machine intelligence essentially refers to machines that can mimic thinking that we associate with humans. This includes the ability to learn from its experiences, to process large amounts of data to solve problems, make decisions or even predictions, and to understand and respond to natural language. It's already happening and Google's recent I/O 18 conference showed just how amazing some of the advances have been.

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.