Futurist Sophie Hackford returned to the Condé Nast International Luxury Conference for the fourth consecutive year this morning to share the key technology developments that will help shape tomorrow's luxury landscape. In her previous talks, Hackford encouraged delegates - many of whom are the world's top luxury CEOs and designers - to get on board with the internet's new future and not repeat what she saw as the collective mistake of the early Noughties, when the industry did not get online and on-board with e-commerce quickly enough. Today, she expanded her theory that the world is becoming a computer, and delved into the world of Artificial Intelligence (AI). The language of the future, Hackford explained, is the language of machines. But after 60 years of disappointments, in which a lot was promised by AI but not much of it seen, how will it actually transform our lives?

Donald Trump has hammered Amazon.com Inc.'s share price in recent weeks by trying to pick fights online with Chief Executive Officer Jeff Bezos. But the actual object of his Twitter onslaught is the domain of Jeff Wilke, Bezos' right-hand man for most of the past 18 years. Wilke runs Amazon's worldwide consumer division, meaning he's in charge of both selling people stuff and figuring out how to deliver the items as efficiently as possible. Often, the company uses the U.S. Postal Service.

Twitch has a tiny Russian problem, and Intel has pulled the plug on its smart glasses. We also have an update on what Pornhub is (not) doing about deepfake videos and everything you need to know about last night's SpaceX launch. We're upgrading Engadget's daily newsletter and want to hear from you. Tell us exactly what you think by emailing us at themorningafter(at)engadget.com. Just two years late.Paul Allen's massive Stratolaunch may finally take off this summer With a wingspan measuring 385 feet, the 500,000-pound, twin-fuselage Stratolaunch is the largest plane in the world.

Britain is pledging £14m for a four-year technology partnership with India that it hopes will generate thousands of new jobs across the UK. The technology alliance, which will initially focus on developing driverless cars, virtual reality and artificial intelligence, follows on from the success of the UK-Israel Tech Hub, which generated £62 million worth of deals over the past five years. The ambitious agreement will see British universities and businesses partner with states in India, working with the British High Commission in New Delhi, the Indian government and private sector to increase tech investment, exports and research and development. Businesses will be able to exchange staff, develop...

The vast majority of machines is of highly anonymous nature and, like background music, has crept into our lives almost without anybody noticing. They include refrigerators, sensors, automatic cameras, servers, mainframe computers and Turing machines. To a certain very rudimentary degree, they are already linked although most only among the same kind. It is a preliminary phase of the Internet of Things. Our day-to-day link with them passes through the smart phones.

Xi Jinping's bookshelf includes not only classics on communism but also works on artificial intelligence, as TV viewers spotted during his new year's speech this year. One of the books that helps the Chinese president understand AI is The Master Algorithm, a 2015 bestseller by Pedro Domingos. In a recent interview with German magazine Der Spiegel, Domingos, who teaches computer science at the University of Washington, said that when he saw his book on Xi's bookshelf, he found it "both exciting and scary." Exciting because China is developing rapidly, and there are all sorts of ways the Chinese and the rest of the world can benefit from AI. Scary because this is an authoritarian government, going full tilt on using AI to control their population. In fact, what we are seeing now is just the beginning.

The Adversarial Robustness Toolbox (ART), an open source software library, supports both researchers and developers in defending deep neural networks against adversarial attacks, making AI systems more secure. Its purpose is to allow rapid crafting and analysis of attack and defense methods for machine learning models. The Adversarial Robustness Toolbox provides an implementation for many state-of-the-art methods for attacking and defending classifiers. It is designed to support researchers and AI developers in creating novel defense techniques and in deploying practical defenses of real-world AI systems. For AI developers, the library provides interfaces that support the composition of comprehensive defense systems using individual methods as building blocks.

The Clearing House recently issued a report that proposed softening Anti-Money Laundering (AML) and Bank Secrecy Act (BSA) regulations. The proposed revamp of rules at this time is both understandable and predictable. Fines totaling hundreds of millions of dollars are now commonplace. Reacting to increased regulations and related fines, covered financial institutions have been spending billions of dollars annually to reduce the like lihood of actions being taken against them. Despite increasing regulatory burdens, growing fines, and requisite increases in compliance spending, the money laundering problem is not abating.

In a first for machine-learning algorithms, a new piece of software developed at Caltech can predict behavior of bacteria by reading the content of a gene. The breakthrough could have significant implications for our understanding of bacterial biochemistry and for the development of new medications. One thrust of modern pharmacology is focused on alleviating ailments by developing drugs that target specific proteins that reside in the membranes of our bodies' cells. These proteins, known as integral membrane proteins (IMP), act as receptors or "gates" that allow materials into and out of cells. Examples of IMPs are G-protein-coupled receptors, which relay information to a cell about its environment, and ion channels, which control the interior environment of a cell by acting as gatekeepers that selectively allow ions to pass in and out of the cell. IMPs are the targets of nearly 50 percent of all drugs on the market.

We show a sufficient condition on the dissimilarity measure that leads to the consistency of the algorithms for clustering offline and online data settings, respectively. As an example of application, clustering synthetic data sampled from multifractional Brownian motions is provided.