Press Release
Robots Need "Common Sense" AI to Work Out Our Uncertain World
The next Machine Intelligence Summit will take place in New York on 9-10 November, to explore how AI will impact transport, manufacturing, healthcare, retail and more. Early Bird tickets are now available for this event - for more information and to register, visit the event page here. See the full events list here for events focused on AI, Deep Learning and Machine Intelligence taking place in London, Amsterdam, Boston, San Francisco, New York and Singapore.
Google buys machine learning startup Moodstocks to help your phone's camera identify objects
Google announced today that it has acquired Paris-based Moodstocks, a startup that has developed machine learning technology to bolster the image recognition features on smartphones. "We continue to pursue our machine learning and research efforts," wrote Vincent Simonet, head of the research and development team for France Google, "and Moodstocks is the latest proof of our commitment to this area." Today, we're thrilled to announce that we've reached an agreement to join forces with Google in order to deploy our work at scale. We expect the acquisition to be completed in the next few weeks. Our focus will be to build great image recognition tools within Google, but rest assured that current paying Moodstocks customers will be able to use it until the end of their subscription. The terms of the deal were not disclosed.
Macy's Pilots IBM's Watson in Partnership with Satisfi for In-Store, Personalized Shopping Companion
NEW YORK--(BUSINESS WIRE)--Today, Macy's (NYSE:M) announced the pilot of "Macy's On Call," a mobile web tool that allows customers to interact with an AI-powered platform via their mobile devices. "Macy's On Call" taps IBM Watson, via Satisfi, an intelligent engagement platform, to deliver a first-of-its-kind solution that will enhance the customer in-store shopping experience at 10 test locations nationwide. The mobile companion, accessed via a mobile browser, allows customers to input natural language questions regarding each participating store's unique product assortment, services and facilities and receive a customized response to the inquiry. There are a number of ways that customers may request information. For example, a customer could type, "Where are the women's shoes?" or type a combination of brand and product inquiry such as "I.N.C dress," and they will receive the relevant response and location of that product in the store.
CIOReview Names MedyMatch in 100 Most Promising Big Data Solutions 2016
MedyMatch Technology Ltd., announced today that it has been ranked in the list of "100 Most Promising BigData Solution Providers" by CIOReview. "The companies selected for our 100 Most Promising BigData Solution Providers 2016 list are an elite group of companies whose products and solutions are changing their respective industries," said Jeevan George, Managing Editor of CIOReview. "We are proud to feature MedyMatch Technology in this edition for its effort in helping organizations to easily and quickly adopt BigData analytics as a core part of their business and accelerate conversion of data into valuable business insights." "It is an honor to be recognized by CIOReview for MedyMatch's achievements in cognitive analytics, artificial intelligence and medical imaging," said Robert Mehler, coFounder & COO. "It is a testament to the accomplishments and capability of our product development team in conjunction with our medical big data clinical partnerships," adds Mehler.
Inspur's Secrets Unveiled Behind Baidu's Driverless Car Technology RoboticsTomorrow
As the pioneer in artificial intelligence field, Baidu chose the Inspur NF5568M4 heterogeneous supercomputing server in its unmanned auto road condition model training. Artificial intelligence has advanced through the years and voice recognition, intelligent hardware, and driverless cars are all technologies that influence our lives. Behind artificial intelligence technology is a neural network that is built from deep learning -- mimicking mechanisms of the human brain when interpreting data. In order to meet all the latest deep learning requirements, a high-performance CPU GPU co-processing acceleration server is growing to become the essential foundation for artificial intelligence hardware.
Technology Trends Investors Should Watch Closely -- The Motley Fool
Investors looking for the most recent technology trends should look no further than the Gartner's Top Tech Trends 2016 list. The research firm has divided the top tech trends in business into several categories and we dove down into a few them to pull out some of the best ones for investors. They include: driverless cars, artificial intelligence, and virtual and augmented reality. IHS Automotive estimates that 10% of all light vehicles sold by 2035 will by fully autonomous (as in, they can drive themselves around everywhere). The group also anticipates that driverless cars will become ubiquitous some time after 2050.
Inspur's Secrets Unveiled Behind Baidu's Driverless Car Technology
The 4U4 card design of Inspur NF5568M4 is applicable to present electric power and heat dissipation designs of the data center, and is scalable to multi-machine and multi-card CPU computing clusters via the open-source Inspur Caffe-MPI becoming the mainstream CPU server used presently in the internet industry. Currently, Inspur's deep learning solution is being applied at Tencent, Baidu, Alibaba, Qihoo, iFLYTEK and JD and is supporting the "super brains" of various types of intelligentized services. As the neural network model grows in complexity, the computing performance necessary for the model training increases dramatically. The cluster-edition Caffe-MPI computing frame launched by Inspur achieves parallel computing of GPU server. It adopts high-performance mature MPI technology in computing -- carrying out parallel data optimization to the Caffe edition -- with the ability to organize multiple NF5568M4 into CPU parallel computing clusters via IB network.
Baidu Open Cloud launches video streaming, image processing, IoT services
Chinese technology company Baidu today announced the launch of a few new services within its Baidu Open Cloud public cloud infrastructure portfolio. Baidu TianSuan (Smart Big Data) lets customers "collect, store, process and analyze big data," Baidu said in a statement. Baidu TianXiang (Smart Multimedia Cloud) includes face recognition and live video streaming, while Baidu TianGong (Intelligent IoT Service) is a full-stack platform for integrating cloud applications with internet-connected devices. The additions bring Baidu more in line with the world's leading cloud infrastructure providers, including Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Amazon and Microsoft have both introduced Internet of Things (IoT) services.
What is IBM
International Business Machines is easily the most historical of all US IT computer behemoths. The question of what is IBM is today more apposite than ever. Any company that is 100 years old has faced challenges and met them but today's challenges are very different. It was founded in 1911 and is headquartered in Armonk, New York. IBM is being digitally disrupted. The company is transitioning from being an infrastructure player to being a data driven company.
NVIDIA Supercharges Deep Learning Innovation with Program to Support AI Startups - PHP Hadoop Articles
About NVIDIA NVIDIA (NASDAQ: NVDA) is a computer technology company that has pioneered GPU-accelerated computing. It targets the world's most demanding users -- gamers, designers and scientists -- with products, services and software that power amazing experiences in virtual reality, artificial intelligence, professional visualization and autonomous cars. Certain statements in this press release including, but not limited to, statements as to: the benefits and impact of the NVIDIA Inception Program; NVIDIA's commitment to help companies related to artificial intelligence; and funding through NVIDIA's GPU Ventures Program are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the reports NVIDIA files with the Securities and Exchange Commission, or SEC, including its Form 10-Q for the fiscal period ended May 1, 2016. Copies of reports filed with the SEC are posted on the company's website and are available from NVIDIA without charge.