IHS Technology has announced that AI in new vehicles is projected to increase over 1700 percent by 2025. Car manufacturers shipped seven million AI systems in new cars throughout 2015, and that number is expected to be 122 million in 2025. AI systems are expected to be varied and perform multiple functions. "An artificial-intelligence system continuously learns from experience and by its ability to discern and recognize its surroundings," said Luca De Ambroggi, principal analyst at IHS Technology. "It learns, as human beings do, from real sounds, images, and other sensory inputs. The system recognizes the car's environment and evaluates the contextual implications for the moving car." Areas of development include eye-tracking, driver monitoring, natural language interfaces, and speech and gesture recognition.

Based on the agreement, both parties will work together on new technology innovation, enhanced user experience and developing a new e-commerce platform for enterprise-level products. Together, the companies are dedicated to driving the next generation of e-commerce artificial intelligence solutions, and conducting associated research and development for high-speed interconnect products. A key technology that JD.com has developed is JD Camera, an application for image recognition and similar image search in mobile terminals. JD Camera facilitates ease-of-shopping for users by allowing customers to quickly and easily search for their favorites products with just a photo rather than detailed language descriptions. "In the future, with the help of the Joint Lab, Camera will be enhanced from general photo-based searches to more advanced imaged-based searches that will allow users to view, select and purchase from suggested recommendations with an advanced image match algorithm for such items as clothing, make-up, furniture, etc.," said Weng Zhi, vice president of technology, JD.com.

National Harbor, MD - 16 Jun 2016: Local Motors, the leading vehicle technology integrator and creator of the world's first 3D-printed cars, today introduced the first self-driving vehicle to integrate the advanced cognitive computing capabilities of IBM (NYSE: IBM) Watson. Starting today, Olli will be used on public roads locally in DC, and late in 2016 in Miami-Dade County and Las Vegas. "Olli offers a smart, safe and sustainable transportation solution that is long overdue," Rogers said. "Olli with Watson acts as our entry into the world of self-driving vehicles, something we've been quietly working on with our co-creative community for the past year. We are now ready to accelerate the adoption of this technology and apply it to nearly every vehicle in our current portfolio and those in the very near future. I'm thrilled to see what our open community will do with the latest in advanced vehicle technology."

Both Amazon and Google are advancing their efforts in machine learning, a type of artificial intelligence that lets computers learn without being explicitly programmed. It's often associated with cloud computing, because it requires the considerable computing power the cloud makes easily available. Amazon's efforts will get a boost when Alexander Smola, a professor in the machine-learning department at Carnegie Mellon University, leaves that position July 1 to head Amazon's cloud machine-learning platform. Smola revealed his plans in this blog post. "This is a terrific task, and it was an offer that I could not turn down," Smola wrote.

Google announced today that it is expanding its largest non-U.S. The new Machine Learning Research Group will be based in Zurich, Switzerland, which is already home to Google's largest research center outside the U.S. The company did not say specifically how many positions will be added. But in a blog post, Google executives said machine learning has become critical to the company's development efforts across a wide range of services. "Google's ongoing research in Machine Intelligence is what powers many of the products being used by hundreds of millions of people a day -- from Translate to Photo Search to SmartReply for Inbox," wrote Emmanuel Mogenet, head of Google Research in Europe. Indeed, the Zurich research center has already had a sizable impact on Google.

Respondents were asked what they saw as the biggest area of opportunity for Big Data in comparison to traditional systems, with 62% agreeing that they consider real time analysis as the biggest area of opportunity today. "It's not long ago we were visiting enterprises and having to explain why they should look at big data. Today in 2016, Big Data Analytics is already considered a necessity to remain competitive by 63% of organizations," explains Serge Haziyev, VP Technology Services, SoftServe. "It's very encouraging that machine learning has featured so prominently in this survey. I find that businesses that take the plunge and implement machine learning techniques realize the benefits early on – it's a big step forward because it delivers prescriptive insights enabling businesses to not only understand what customers are doing, but why."

Microsoft and Google have announced plans to expand their machine learning capabilities, through acquisition and new research offices respectively, reports Telecoms.com.

Pendo is bringing the attention to what really matters today: data liquidity, which Pendo defines as liberating data by sophisticated matching and search providing for API's and open standards. Pendo is pleased to announce Version 3.1 of the Pendo Data Platform (PDP), surfacing new abilities in the user-friendly web UI incorporating Artificial Intelligence (AI) attacking the battle of aggregation and intelligent machine learning in gathering of Excel spreadsheets. "AI is a magnitude more complex than machine learning," states Pamela Pecs Cytron, CEO of Pendo Systems. When you model the mind you can create systems capable of learning everything about the world. It is a much smaller task, since the world is very large and changes occur behind your back, which means World Models will become obsolete the moment they are made.

"In 2016, selecting the top achievers was extremely difficult," said Alex Vieux, publisher and CEO of Red Herring. "The variety, depth, disruption and traction we saw from the early stage companies to those with significant scale made it one of the toughest vintages to judge. The North America winners are representative of the amazing ecosystem that never ceases to astound, with new and experienced entrepreneurs continuing to push the barriers of innovation. As one of the winners, Armorway should be proud of its accomplishment under such strong competition." Red Herring's editorial staff evaluated companies on both quantitative and qualitative criteria, such as financial performance, technological innovation and intellectual property, DNA of the founders, business model, customer footprint and market penetration.

"Knowledge workers spend a significant amount of time searching for information, either through standard search engines or through specialized tools", said Pablo Brenner, co-founder of Collokia. "In many situations, co-workers have already searched for similar information, but the work is recreated because there is no knowledge or experience sharing, leaving them unaware. Collokia s platform automatically identifies such collaboration opportunities and eliminates the time wasted on redundant research efforts. For example, when searching for a specific subject, Collokia alerts users to similar activities that have already been completed, offering recommendations and connecting them with others within the organization that have expertise on the information they are seeking." In contrast with most collaboration platforms where sharing information requires extra effort by the employee, Collokia s knowledge mapping, collection and distribution is completely transparent and effortless for all involved parties.