Germany and Japan, March 8, 2017 --- Deutsches Forschungszentrum für Künstliche Intelligenz (German Research Center for Artificial Intelligence, 'DFKI') and Hitachi, Ltd. (Hitachi) today announced the joint development of AI (artificial intelligence) technology for human activity recongnition of workers using wearable devices. The AI technology performs real-time recognition of workers' activities by integrating technology in eye-tracking glasses*1to recognize gazed objects with technology in armband devices to recognize action. The recognition ability of each activity is achieved by having the AI understand the tools or parts used at the production site as well as anticipated actions through Deep Learning*2. DFKI and Hitachi will use this newly developed AI technology to assist operations and prevent human error, to contribute to enhancing quality and efficiency on the front line of manufacturing. In line with initiatives such as Industry 4.0*3in Germany and Society 5.0*4in Japan, the manufacturing industry is accelerating steps towards innovating production using AI and robotics, and the automation of menial tasks.

International Business Machines Corp. and Salesforce.com Inc. agreed to mingle their artificial-intelligence technologies in a bid to boost sales of the powerful data-analytics offerings. The companies Monday announced plans to offer integrated AI services that weave the broad humanlike conversation and learning capabilities of IBM's Watson with Salesforce's more sales-oriented Einstein technology. The new offerings, available in the second half of the year, are aimed at helping a wide variety of companies better target products and services at customers. Ginni Rometty, CEO of IBM, said that she believes that believes artificial intelligence will help to create jobs and that clients will have a "symbiotic relationship" with AI. IBM IBM, 0.23% and Salesforce CRM, 0.34% believe the partnership will work because their AI technologies have different capabilities.

Fujitsu today announced that it has received RIKEN's order for the "Deep learning system," which in terms of operations will be one of the largest-scale supercomputers in Japan specializing in AI research. The RIKEN Center for Advanced Intelligence Project will use the new system, scheduled to go online in April 2017, as a platform to accelerate R&D into AI technology. The system's total theoretical processing performance will reach 4 petaflops(1). The system will be comprised of two server architectures, with 24 of NVIDIA DGX-1 servers and 32 FUJITSU Server PRIMERGY RX2530 M2 servers, along with a high-reliability, high-performance storage system. Fujitsu is leveraging the extensive know-how that it and Fujitsu Laboratories Ltd. have in high-performance computing development and AI research to build and operate one of Japan's most advanced AI research systems.

LONDON--(BUSINESS WIRE)--Artificial intelligence and additive manufacturing or 3D printing are emerging technologies that have a huge potential in a variety of industries and applications. Despite both technologies being fairly new, particularly 3D printing, procurement market intelligence experts at SpendEdge state that these technologies have several applications in the supply chain for addressing procurement challenges, and will very soon become an integral part due to its improved and sophisticated functionalities. Rapid prototyping is one of the most common uses of additive manufacturing. Since designing a successful product can be very expensive and time-consuming, 3D printed prototyping makes it quite simple at the same time shortens the manufacturing cycle. The impact of AM on supply chain is massive, some of which include increased manufacturing flexibility, reduced material waste, and the ability to employ decentralized manufacturing strategies.

The all- new test vehicle will be used to explore a full range of autonomous driving capabilities. Toyota's work on autonomous vehicles in the United States began in 2005 at its technical center in Ann Arbor, Mich.-- The company secured its first U.S. patents in the field in 2006.-- According to a report last year by the Intellectual Property and Science division of Thomson Reuters, Toyota holds more patents in the field than any other company. "This new advanced safety research vehicle is the first autonomous testing platform developed entirely by TRI, and reflects the rapid progress of our autonomous driving program," said TRI CEO Gill Pratt.

Naver and LINE Corp. unveiled their artificial intelligence (AI)-based assistant platform Clova at the Mobile World Congress (MWC) 2017 in Barcelona, the companies reported Thursday. According to Naver and its mobile service subsidiary, Clova, which stands for "cloud virtual assistant," aims at an AI platform that works based on the five human senses. "Clova is a platform that incorporates various AI technologies including vocal, visual and conversational engines," LINE Corp. CEO Idezawa Takeshi said in his keynote at the MWC 2017, Wednesday. The two companies are jointly developing Clova by improving Naver Labs' voice-recognizing assistant service AMICA. They said it will expand the system to have more cognitive capabilities to make it more humanlike.

SYS-CON Events announced today that TechTarget has been named "Media Sponsor" of SYS-CON's 20th International Cloud Expo, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. TechTarget storage websites are the best online information resource for news, tips and expert advice for the storage, backup and disaster recovery markets. By creating abundant, high-quality editorial content across more than 140 highly targeted technology-specific websites, TechTarget attracts and nurtures communities of technology buyers researching their companies' information technology needs. By understanding these buyers' content consumption behaviors, TechTarget creates the purchase intent insights that fuel efficient and effective marketing and sales activities for clients around the world. All major researchers estimate there will be tens of billions devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020.

It was one of those amazing "we're living in the future" moments. In an October 2013 press release, IBM declared that MD Anderson, the cancer center that is part of the University of Texas, "is using the IBM Watson cognitive computing system for its mission to eradicate cancer." Well, now that future is past. The partnership between IBM and one of the world's top cancer research institutions is falling apart. The project is on hold, MD Anderson confirms, and has been since late last year.

BARCELONA, Spain--(BUSINESS WIRE)--Today, global skincare brand Olay celebrated its Mobile World Congress debut with the global launch of Olay Skin Advisor, a new platform designed to help women better understand their skin and find the products best-suited to their personal skincare needs. Rooted in a suite of artificial intelligence technologies, Olay Skin Advisor marks the first application of deep learning in the beauty industry, arming women with the knowledge they need to care for their skin and better navigate the often-confusing beauty aisle. "Shopping for skincare has never been more overwhelming, as women are faced with thousands of products and promises," said Dr. Frauke Neuser, Principal Scientist for Olay. "Olay's research shows that browsing the shelf is the #1 purchase influencer for women, yet 1/3 of women do not find what they are looking for. We saw an opportunity to help women understand their skin better than ever, before they even step foot in the store. Our solution is Olay Skin Advisor, which uses artificial intelligence to deliver a smart skin analysis and personalized product recommendation, taking the mystery out of shopping for skincare products."

This article was contributed by Mark Edmondson and Peter Meyer, both from IIH Nordic, specialists in online marketing and web communication headquartered in Copenhagen, Denmark. Many analytics specialists agree that Machine Learning is going to revolutionise the digital analytics industry in the future, as all the major vendors battle to provide Machine Learning APIs that offer to surface interesting features of your data. These APIs offer cloud solutions that you can use to both scale up your own models, or take advantage of pre-trained models. Following our presentation at Superweek Hungary 2017, we wanted to show how you could start using these services today to enhance your own digital analytics capabilities. Among all Machine Learning techniques, we chose Sentiment Analysis since it is a common use case, but the same code with small modifications could be used for any of the machine learning APIs offered by the services we chose, Algorithmia and Google Natural Language API.