Deep learning computer vision startup allegro.ai is set to showcase its latest product offering, hosted at the Intel partner booth (booth #307), during the Embedded Vision Summit which will take place in Santa Clara, California on May 20-May 23, 2019. The company's platform and product suite simplify the process of developing and managing deep learning-powered perception solutions - such as for autonomous vehicles, medical imaging, drones, security, logistics and other use cases. The platform enables engineering and product managers to get the visibility and control they need, while research scientists focus their time on research and creative output. The result is meaningfully higher quality products, faster time-to-market, increased returns to scale, and materially lower costs. The company's investors include Robert Bosch Venture Capital GmbH, Samsung Catalyst Fund, Hyundai Motor Company, and other venture funds.
Artificial intelligence (AI) is the word on everyone's lips. But in the automotive industry today, many products and services being labeled as such are in fact reliant on a form of advanced analytics (evolving from conventional algorithms) that enables those features--for example, predictive maintenance in manufacturing. Theories of AI have existed since 1950. However, AI itself gained wider functional applicability only in the past few decades, with the rise of machine learning and deep learning. This has also been facilitated by advances such as improved algorithms and training methods, greater computing power, and the availability of large amounts of data in the cloud.
Artificial intelligence uses data science and algorithms to automate, optimize and find value hidden from the human eye. By one estimate, artificial intelligence will drive nearly $2 trillion worth of business value worldwide in 2019 alone. Hence, that's an excellent incentive to grab a slice of the AI bounty. Also, fortune favors those who get an early start. Therefore, the laggards might not be so fortunate.
By 2030, 70% of the global organizations would have incorporated AI in some form. Among other effects, this also means an intensified war for talent. A new relationship between humans and machines is on the horizon and so is a great economic overhaul. AI has the potential to widen the gap between developing and developed countries, companies and people. With every passing day this gap seems to widen even more.
The Diet on Friday enacted legislative revisions aimed at creating systems to ensure the safety of self-driving vehicles. The revisions to the Road Transport Vehicle Act, approved unanimously by the House of Councilors at a plenary session, call for the applying of vehicle safety standards to self-driving equipment necessary to check the surroundings, including cameras and radars. Under the revised law, special certification will be granted to auto safety inspection business operators capable of undertaking maintenance work for self-driving equipment. The original law did not have provisions that assumed vehicles would ever be self-driving. The revisions also require automakers to provide technical information necessary to carry out inspections of self-driving equipment.
WASHINGTON - U.S. computer scientist Katie Bouman, who became a global sensation over her role in generating the world's first image of a black hole, has described the painstaking process as akin to listening to a piano with missing keys. Testifying before Congress on Thursday, the postdoctoral fellow at the Harvard Smithsonian Center for Astrophysics also suggested that the technology developed by the project could have practical applications in the fields of medical imaging, seismic prediction and self-driving cars. A photo released last month of the star-devouring monster in the heart of the Messier 87 (M87) galaxy revealed a dark core encircled by a flame-orange halo of white hot plasma. Because M87 is 55 million light-years away, "This ring appears incredibly small on the sky: roughly 40 microarcseconds in size, comparable to the size of an orange on the surface of the moon as viewed from our location on Earth," said Bouman. The laws of physics require a telescope the size of our entire planet to view it.
NAGOYA - Toyota Motor Corp. is considering offering autonomous driving technologies to ride-hailing firms, sources close to the matter said Thursday, in its latest push to become a company offering not only cars but also various mobility services. The automaker is planning to supply a new driverless system to be developed with U.S. ride-hailing giant Uber Technologies Inc. to companies such as Grab Taxi Holdings Pte Ltd. of Singapore and ANI Technologies Pvt. Ltd.'s Ola of India, the sources said. Toyota said last month it will jointly invest $1 billion in Uber's new subsidiary to develop autonomous vehicles, together with SoftBank Group Corp. and auto parts supplier Denso Corp. SoftBank Group is the biggest shareholder in Uber and has also invested in Grab and Ola. Toyota is also a stakeholder in Grab, which has a wide range of businesses across Southeast Asia.
Machine learning (ML), a form of artificial intelligence that recognizes faces, understands language and navigates self-driving cars, can help bring to Earth the clean fusion energy that lights the sun and stars. Researchers at the U.S. Department of Energy's (DOE) Princeton Plasma Physics Laboratory (PPPL) are using ML to create a model for rapid control of plasma--the state of matter composed of free electrons and atomic nuclei, or ions--that fuels fusion reactions. The sun and most stars are giant balls of plasma that undergo constant fusion reactions. Here on Earth, scientists must heat and control the plasma to cause the particles to fuse and release their energy. PPPL research shows that ML can facilitate such control.
Ford Motor Company, along with General Motors, Toyota and Volkswagen, may have started out as automotive manufacturers, but they now refer to themselves as "mobility service" companies. Ford believes "freedom of movement drives human progress." While it is now a global company, Ford started out more than 100 years ago in Dearborn, Michigan. The company revolutionized manufacturing by introducing the moving assembly line and made car ownership possible for everyday folks and not just the wealthy. Today, the company focuses on technology first and uses artificial intelligence (AI) and machine learning in many ways from connected car solutions to the development of autonomous vehicles.
YOKOHAMA - Nissan Motor Co. said Thursday that from this fall it will start offering a system that allows navigated highway driving and hands-off single-lane driving, in the automaker's latest push toward self-driving vehicles. Nissan said its Skyline sedan for the Japanese market can be equipped with the new driver assistance system, the first of its kind in the world. Aiming to revive its sluggish earnings, the automaker is seeking to enhance the quality and brand image of its vehicles with next-generation technologies under a medium-term business plan unveiled Tuesday. "No other company has this technology of a navigated highway driving system with hands-off single-lane driving," Nissan Executive Vice President Kunio Nakaguro told a news conference at the carmaker's headquarters in Yokohama. Tetsuya Iijima, general manager of Nissan's autonomous drive development, said it would not be easy for other carmakers to commercially offer a more sophisticated assistance system for the moment.