Shiseido Co., the Japanese firm that sells Laura Mercier cosmetics and Dolce & Gabbana fragrances, sold ¥1 trillion ($9.3 billion) worth of beauty products last year, mostly in traditional stores where customers can sample brands in person. Consumers in their teens and twenties often prefer to shop online, beyond the reach of in-store salespeople. To partner with -- and even buy up -- small startups in Silicon Valley and other tech hubs to gain expertise in artificial intelligence, augmented reality and other technologies. His ambition is to help shoppers replicate online the experience of trying on cosmetics in a store, and use data from smart devices to create personalized makeup for customers. "Particularly with the younger generation, often they don't go into the stores," Uotani said in an interview.

While Mark Zuckerberg has been away in Washington, D.C. last week testifying about data misuse and cybersecurity, we can only assume that his personal robot assistant, Jarvis, has been helping run his household. Named after Iron Man's infamous aide, Zuckerberg has boasted before that his Jarvis can play music, control household appliances, and even entertain the kids. Jarvis learns from his human family -- their voices, their musical preferences, their preferred temperatures, and environment. So, is this the best that Artificial Intelligence (AI) can achieve? AI leaders will tell you: no way.

On Thursday, IBM announced new capabilities for its Watson Data Platform that make it easier for developers and data scientists to analyze and prepare enterprise data for artificial intelligence (AI) applications. By 2018, nearly 75% of developers will build AI functionality into their apps, according to an IDC report. However, this requires wading through increasingly complex data that lives in different places, and must be continually and securely ingested, according to an IBM press release. In response to this challenge, Watson will now include data cataloging and data refining, to improve data visibility and better enforce data security policies so that users can more easily share information across public and private cloud environments. "We are always looking for new ways to gain a more holistic view of our clients' campaign data, and design tailored approaches for each ad and marketing tactic," Michael Kaushansky, chief data officer at global advertising and marketing consultancy Havas, said in the release.

About Hyundai Motor America Hyundai Motor America is focused on delivering an outstanding customer experience grounded in design leadership, engineering excellence, and exceptional value in every vehicle we sell. Hyundai's technology-rich product lineup of cars, SUVs, and alternative-powered electric and fuel cell vehicles is backed by Hyundai Assurance-our promise to deliver peace of mind to our customers. Hyundai vehicles are sold and serviced through more than 830 dealerships nationwide, and the majority sold in the U.S. are built at U.S. manufacturing facilities, including Hyundai Motor Manufacturing Alabama. Hyundai Motor America is headquartered in Fountain Valley, California, and is a subsidiary of Hyundai Motor Company of Korea.

Node, an AI-driven search tool designed to surface the information that matters most to you, announced today that it was bringing on a couple of AI research heavy hitters. It also announced $5 million in additional funding. For starters, the company hired Louis Mornier, one of the founders of early internet search engine, Alta Vista, and most recently the Head of the AI Lab at Airbnb. Mornier will join the startup as Chief Scientist. The company also brought on Jeffrey Johnson as Chief Technology Officer in January.

IBM today announced the launch of its Adversarial Robustness Toolbox for AI developers. The open-source kit contains everything a machine learning programmer needs to attack their own deep learning neural networks (DNN) to ensure they're able to withstand real-world conditions. The toolbox comes in the form of a code library which includes attack agents, defense utilities, and benchmarking tools that allow developers to integrate baked-in resilience to adversarial attacks. The company says it's the first of its kind. One of the biggest challenges with some of the existing models to defend against adversarial AI is they are very platform specific.

NEW YORK--(BUSINESS WIRE)--Lantern Pharma is applying Artificial Intelligence (AI) to tailor multiple promising precision drug programs to the right cancer patients through use of their RADRTM platform (Response Algorithm for Drug Rescue and Positioning). Lantern is disrupting the drug development process using seamless integration of relevant existing data, generation of new clean data closely modeling real world evidence and very focused AI technology application to further model this data and distill into meaningful information that can identify & stratify right patients with high accuracy. Even a small step ahead in the right direction will be a huge leap for the pharma industry. Lantern is currently leading the way in AI directed drug development, recently having fast tracked shelved assets from in-license to out-license within 18 months. Lantern is currently progressing 3 clinical stage drugs in using this technology.

AUSTIN, Texas--(BUSINESS WIRE)--In a joint report, DHL, the world's leading logistics service provider, and IBM have evaluated the potential of Artificial Intelligence (AI) in logistics and exposed how it can be best applied to transform the industry, giving rise to a new class of intelligent logistics assets and operational paradigms. DHL and IBM outline how supply chain leaders can take advantage of AI's key benefits and opportunities now that performance, accessibility as well as costs are more favourable than ever before. The collaborative report identifies implications and use cases of AI for the logistics industry, finding that AI has the potential to significantly augment human capabilities. While AI is already ubiquitous in the consumer realm, as demonstrated by the rapid growth of voice assistant applications, DHL and IBM find that AI technologies are maturing at great pace, allowing for additional applications for the logistics industry. These can, for instance, help logistics providers enrich customer experiences through conversational engagement and even deliver articles before the customer has even ordered them.

In a joint report, DHL and IBM have evaluated the potential of Artificial Intelligence (AI) in logistics and exposed how it can be best applied to transform the industry, giving rise to a new class of intelligent logistics assets and operational paradigms. DHL and IBM outline how supply chain leaders can take advantage of AI's key benefits and opportunities now that performance, accessibility as well as costs are more favourable than ever before. The collaborative report identifies implications and use cases of AI for the logistics industry, finding that AI has the potential to significantly augment human capabilities. While AI is already ubiquitous in the consumer realm, as demonstrated by the rapid growth of voice assistant applications, DHL and IBM find that AI technologies are maturing at great pace, allowing for additional applications for the logistics industry. These can, for instance, help logistics providers enrich customer experiences through conversational engagement and even deliver articles before the customer has even ordered them.

Discussions will focus on how the technological developments will shape the future of Europe and building a strong Digital Single Market with increased investment and digital skills is crucial. After last year's Digital Day in Rome that triggered successful cooperation in areas such as high-performance computing, connected mobility and the digitisation of industry, the Commission is repeating the initiative to encourage more cooperation on digital issues. Within a year, major progress has been made towards a Digital Single Market. The end of roaming charges and the portability of online content are now part of the lives of Europeans. Stronger rules on the protection of personal data and the first EU-wide rules on cybersecurity will become a reality in May 2018.