What is it like to compete in a car race that isn't about speed, but rather fuel efficiency? As more than 100 people found out on March 3 at the Sonoma Raceway: really fun. A broad cross-section of the Silicon Valley community participated in Toyota Onramp 2017, an annual event hosted by Toyota Research Institute (TRI). The cornerstone of the event was the Prius Challenge, where the teams competed to see how efficiently they could drive nine laps at Sonoma Raceway. The competition also featured a special guest, Toyota Chairman of the Board Takeshi Uchiyamada.

DB Networks pioneered Artificial Intelligence based database security. Its customers include the world's largest financial institutions, healthcare providers, manufacturers, and governments. Customers gain insights by discovering all active databases, identifying tables being accessed, and the specific applications accessing the databases. In addition, analyzing application database access that deviates from the model of normal application behavior immediately identifies compromised credentials and database attacks. DB Networks is a privately held company headquartered in San Diego, Calif. For more information, call (800) 598-0450 or visit the company's website.

Powell High School teacher Jimmy Waters stands in front of the San Jose Semaphore in California. Waters cracked a code broadcast by the building that had been unsolved for more than four years. Jimmy Waters, 31, teaches advanced algebra, geometry and trigonometry at Powell High School. Last summer, Waters devoted a month of his vacation time to solving the puzzle presented by the San Jose Semaphore, a project created by New York-based artist Ben Rubin in 2006. Adobe planned on rewarding Waters with a one-year subscription to its Creative Cloud software, but at his request, the company is donating 40 one-year subscriptions to Powell High School's computer lab, on top of a 3-D printer "to help the students push the boundaries of creativity even further," according to a company news release.

Research and Markets has announced the addition of the "Global Neural Network Software Market (2016-2022)" report to their offering. Neural network software is used in stimulating, researching, developing, and applying artificial neural networks to a wide array of adaptive systems such as artificial intelligence and machine learning. Neural network simulators are software applications used in stimulating the behavior of artificial or biological neural networks, with a focus on one or a limited number of specific types of neural networks. The most common type of neural network software historically was use in researching neural network structures and algorithms. The neural network software market is witnessing rapid growth due to increasing need for data archiving tools in order to organize the data generated from varied end user sectors.

Information contained on this page is provided by an independent third-party content provider. If you are affiliated with this page and would like it removed please contact pressreleases@franklyinc.com Addition of enterprise-level AI capabilities furthers Genpact's ability to drive digital transformation at speed and scale for clients Genpact (NYSE: G), a global professional services firm focused on delivering digital transformation for clients, has signed a definitive agreement to acquire Rage Frameworks, a leader in knowledge-based automation technology and services providing Artificial Intelligence (AI) for the Enterprise. Terms of the deal are not disclosed. As part of its strategy to drive both digital-led innovation and digital-enabled intelligent operations for its clients, Genpact is investing in leading technologies, such as AI, that are transforming the way companies in many industries compete. Genpact will embed Rage's AI in business operations and apply it to complex enterprise issues to allow clients to generate insights and drive decisions and action, at a scale and speed that humans alone could not achieve.

Pentaho helps data scientists and engineers easily prepare and blend traditional sources like ERP, EAM and big data sources like sensors and social media. Pentaho also accelerates the notoriously difficult and costly task of feature engineering by automating data onboarding, data transformation and data validation in an easy-to-use drag and drop environment. Model training, tuning and testing -- Data scientists often apply trial and error to strike the right balance of complexity, performance and accuracy in their models. With integrations for languages like R and Python, and for machine learning packages like Spark MLlib and Weka, Pentaho allows data scientists to seamlessly train, tune, build and test models faster. Model deployment and operationalization -- a completely trained, tuned and tested machine learning model still needs to be deployed.

Genpact (NYSE:G), a global professional services firm focused on delivering digital transformation for clients, has signed a definitive agreement to acquire Rage Frameworks, a leader in knowledge-based automation technology and services providing Artificial Intelligence (AI) for the Enterprise. Terms of the deal are not disclosed. As part of its strategy to drive both digital-led innovation and digital-enabled intelligent operations for its clients, Genpact is investing in leading technologies, such as AI, that are transforming the way companies in many industries compete. Genpact will embed Rage's AI in business operations and apply it to complex enterprise issues to allow clients to generate insights and drive decisions and action, at a scale and speed that humans alone could not achieve. "As advanced technologies such as AI fundamentally change the definition of work, the ability for CXOs to find and leverage new solutions that combine the best elements of human expertise and machine intelligence, will be critical to their ability to gain and sustain competitive advantage," said NV'Tiger' Tyagarajan, president and CEO, Genpact.

Brian Krzanich, CEO of Intel, Harald Krueger, CEO of German car maker BMW and Amnon Shashua, co-founder, chairman and CTO Mobileye NV, pose after a press conference in Munich on July 1, 2016. As the automotive industry races to commercialize automated driving by the turn of the decade, the number of real power players in the space is rapidly consolidating. The latest move is Intel's acquisition of Israeli machine vision leader Mobileye for $15.3 billion. If completed, the deal may finally put Intel in a strong position in a new market after it has struggled in recent years to break into new new territory beyond its deteriorating stronghold in PC chips. Founded 1999, Mobileye is the undisputed global market leader for the image processing systems that are increasingly becoming standard equipment on new vehicles and will be essential to making self-driving vehicles work.

Intel is buying the Israeli autonomous-driving company Mobileye for $63.54 per share in cash, or about $15.3 billion. Mobileye soared about 30% in pre-market trading on Monday after the Israeli newspaper Haaretz broke the news. The Jerusalem-based company develops vision-based driver-assistance tools to provide warnings before collisions. "Mobileye brings the industry's best automotive-grade computer vision and strong momentum with automakers and suppliers," Intel CEO Brian Krzanich said in a statement. "Together, we can accelerate the future of autonomous driving with improved performance in a cloud-to-car solution at a lower cost for automakers."

First of all, I will explain the reason for the post title. For those who have not seen the films, I summarize: "A group of four illusionists win year after year to the public with their incredible magic shows and even mocking the FBI. GSMA is a great illusionist and MWC is their principal magic show. We are invited year after year to visit an event with unique keynote speakers, an enormous list of exhibitors, amazing performances and a great LinkedInplace where we can meet in person some of our social media contacts. What else can we ask for? I know that it is very ruthless to compare the GSMA with illusionists and the MWC as their greatest magic show, but at least I see quite a few reasonable resemblances, you don t. If in 2015 I wrote " MWC 2015: Everything Connected, Tapas and Jamon", and I argued as one the reasons to attend MWC was the fact it was celebrated in Barcelona. In 2016, in my post "GSMA need to think how to reinvent MWC" I justify the reasons why the MWC needed to reinvent itself. One thing has become clear to me after many years attending MWCs, this is the world's biggest phone and mobile networks show, with manufacturers set to unveil a raft of new phone handsets and new technology. However, the GSMA had insisted on introducing more and more distractions like Internet of Things (IoT), Connected Living, Connected Car, AR/ VR, Robots. Maybe the reason is because Telecom operators do not have the DNA to change. Still, many telecom operators take a dim view of some of the aggressive moves being made by these peers, especially when it comes to business models based on commercializing customer data. "I expected to see less hype and a dose of common sense" Starting by the announcement of Spain's Telefonica to introduce a broad plan "4th Platform" to help both consumer and business customers keep greater control over their data rather than giving it away to web giants Google, Facebook and Amazon. "I expected to see more applications where IoT will become a lot less exciting, but more useful and profitable.