He thinks AI...is set to save time, lives and money."―The Economist "Topol passionately and persuasively sets out the transformational potential of deep medicine."―Lancet "[Topol's] argument for using technology to bring care back to health care is timeless."―Nature "An optimistic vision of medicine's rapidly approaching future that should be required reading for the public and medical people alike."―Booklist "Enlightening... Anyone with an avid curiosity about the future of medicine will find this worthwhile."―Publishers Weekly "A gimlet-eyed look at the role of computers in medicine...A cogent argument for a more humane -- and human -- medicine, assisted by technology but not driven by it."―Kirkus "Eric Topol has a unique knack for bringing us to the frontiers of medicine in his books, and this one is no exception.

In Tokyo, an eerily human-like robot called Aiko Chihira wears a colourful kimono and greets shoppers at the entrance of a glossy department store. At the nearby Uniqlo warehouse, AI machines have now replaced 90 percent of human staff and work day and night. When we thought of mass job losses in the fashion industry, we pictured a robotic future like this one, which – until March – felt years away from a British reality. However, the pandemic has accelerated a move towards automation that could otherwise have taken decade, with the British Fashion Council suggesting a quarter of a million industry jobs might be lost. Debenhams axed 2,500 on Tuesday after the 4,000 cuts the group made in April, while Burberry recently announced plans to cut 500 jobs worldwide, and M&S 950.

As physical retail struggles amid the global pandemic, storeowners are rapidly trying to adapt to new realities that also include growing competition from Amazon. But a French startup called Storelift believes it can create a new convenience store concept that leans on many of the same AI and computer vision tools used in Amazon Go stores to reinvent the shopping and checkout experience. This week, Storelift announced that it has launched its first two stores under the name "Boxy." The Boxy stores are repurposed shipping containers that can be plopped down in various urban neighborhoods that lack good shopping options. The founders believe their approach demonstrates how businesses can exploit new shopping niches with the help of sensors, data, and AI that allows them to optimize their inventory and reduce costs.

Australians love online shopping and continuously look for a great purchase experience each time they check out. As with any mature market, customers are spoiled for choice, and competition is fierce. After all, the competitor is just a click away. In a volatile retail environment, the value of a satisfied, loyal customer cannot be underestimated. Customer experience (CX) is now the new arena where customers are won or lost.

Every day there is something new going on in the world of AWS Machine Learning--from launches to new use cases to interactive trainings. Check back at the end of each month for the latest roundup. This month we gave you a new way to add intelligence to your contact center, improved personalized recommendations, made our Machine Learning University content available, and more. Want more news about developments in ML? Check out the following stories: Also, if you missed it, the season finale of SageMaker Fridays aired on August 28. Stay tuned for more news on season 2! See you next month for more on AWS ML! Laura Jones is a product marketing lead for AWS AI/ML where she focuses on sharing the stories of AWS's customers and educating organizations on the impact of machine learning.

Amazon customers in the U.S. could soon have their deliveries completed by an unmanned drone. The Federal Aviation Administration has approved Amazon's Prime Air service, which will use drones to deliver packages. The FAA issued a "Part 135 air carrier certificate using unmanned aircraft systems" to Amazon on Saturday, the agency confirmed in a statement to USA TODAY. Similar certificates have been issued to Wing Aviation, a subsidiary of Google parent company Alphabet, and UPS Flight Forward. In a statement, David Carbon, vice president of Prime Air said the company will continue working on their technology to integrate delivery drones into the airspace.

Amazon has been testing drones for delivering some small packages. Amazon Prime Air has cleared a regulatory hurdle, moving the online retail giant one step closer to dropping packages off at your doorstep with drones. The US Federal Aviation Administration on Saturday issued Amazon Prime Air a "Part 135 air carrier certificate," allowing it to begin commercial drone deliveries in the US. "Amazon Prime Air's concept uses autonomous UAS (unmanned aircraft systems) to safely and efficiently deliver packages to customers," said a spokesperson for the FAA on Monday. "The FAA supports innovation that is beneficial to the public, especially during a health or weather-related crisis."

As of today, Amazon is officially an "air carrier." The Federal Aviation Administration (FAA) granted Amazon Prime Air the designation, which allows Amazon to begin its first commercial delivery trials in the US, Bloomberg reports. The company will use the hexagon-shaped next-gen hybrid drone it showed off last year. Amazon has not revealed when or where it will begin its commercial delivery trials, but as Bloomberg points out, it does have test sites in the Northwest and in the nearby Vancouver area. Amazon has also tested drones in the UK.

We extend the empirical results from the structural equation model (SEM) published in the paper Assortment Planning for Retail Buying, Retail Store Operations, and Firm Performance [1] by implementing the directed acyclic graph as a causal Bayesian neural network. Neural network convergence is shown to improve with the removal of the node with the weakest SEM path when variational inference is provided by perturbing weights with Flipout layers, while results from perturbing weights at the output with the Vadam optimizer are inconclusive.

Turn on your TV or fire up a web browser and, within just a few minutes, you'll come across a commercial for a product with some element of artificial intelligence inside it that makes it special. In consumer goods, it could be a low-end smartphone or a high-end refrigerator. You'll find plenty of software in commercial settings that "leverages the power of AI" in every sphere of human commercial activity. But of course, most claims of "AI" are little more than hyperbole, comprising a few algorithms that could have been coded by an undergraduate Computing Science freshman. The reasons are obvious enough, especially considering the fact that a business is literally better-valued if it claims to be using artificial intelligence.