With this in mind, which tech stocks should investors buy to cash in on this trend? Although Nvidia Corporation (NASDAQ:NVDA) now appears to be the prime beneficiary of the machine learning aspect of artificial intelligence, Nvidia stock has soared over 200% in the last year and likely already reflects a great deal of revenue from AI. Consequently, investors should wait for a better entry point before buying Nvidia stock. But four other tech stocks Intel Corporation (NASDAQ:INTC), Delphi Automotive PLC (NYSE:DLPH), Visteon Corp (NYSE:VC), and Baidu Inc (NASDAQ:BIDU) -- are definitely poised to get a meaningful boost from AI and should be bought at current levels.
In these early days of smart cities and connected cars, Savari has emerged as a V2X (that's vehicle-to-everything) innovator. Now it's joined the 5G Automotive Association to bring cellular communications to connected cars. The 5G Automotive Association already has a few dozen members, including OEMs like Audi, Ford and Daimler, automotive suppliers like Bosch, Denso and Continental, and cellular industry companies like Verizon, Samsung and LG. You may be wondering about dedicated short-range communications, or DSRC, technology, which is already being tested in V2X communications for vehicles and infrastructure.
Using this morphing tread, the Eagle 360 Urban transforms and adapts to changing road and weather conditions. This new generation of tires will create added value for OEM partners and the evolving providers of Mobility as a Service (MaaS) by maximizing uptime and providing proactive maintenance. Working closely together with Goodyear's designers, the students created Vision UMOD, a vehicle for future cities and adapted to the needs of future mobility. This maximizes uptime and safety, offering an improved mobility user experience at all times for Mobility as a Service (MaaS) providers.
There's a lot going on in the world of Big Data, Deep Learning, and Machine Learning this week. I'm also preparing for Oracle Code New York, where I will be doing a talk on NiFi, Deep Learning, Machine Learning, NLTK, streaming, IoT, and Java microservices. Deep Learning 4J Model Zoo: They save lots of time -- grab all the zoos you can. I am hoping by the end of the month to detail my progress on my self-driving Raspberry Pi car, Raspberry Pi Deep Learning, Spark, Hadoop Cluster, and wrap-up from the Code NYC talk.
The Goodyear Eagle 360 Urban is a 360-degree tyre concept designed for autonomous cars that has artificial intelligence. It also features sensors that can analyse road conditions, but the addition of artificial intelligence means the tyre can help the car make informed decisions about its route or movements. Like the previous 360 concept, the Urban's 360-degree rotation makes the car significantly more agile and able to spin on the spot, improving urban navigation. The tyres feature sensors that can provide the car's computer system with road conditions, grip and weather data.
The 3D printed tread mimics the pattern of brain coral and behaves like a natural sponge – designed to stiffen in dry conditions and soften when wet to deliver excellent driving performance and aquaplaning resistance. Embedded sensors further increase safety by communicating road and weather conditions to the vehicle control system and other nearby cars, while tread and tire pressure monitoring technology regulate even wear of the 360-degree tire to extend mileage. Embedded sensors further increase safety by communicating road and weather conditions to the vehicle control system and other nearby cars, while tread and tire pressure monitoring technology regulate even wear of the 360-degree tire to extend mileage. Inspired by nature, the 3D printed tread mimics the pattern of brain coral and behaves like a natural sponge – designed to stiffen in dry conditions and soften when wet to deliver excellent driving performance and aquaplaning resistance.
Two summers ago, Magna International Inc. and Royal Bank of Canada brought together some of Canada's brightest entrepreneurs and innovators to brainstorm what Canada needs to foster the development of emerging technologies and tech companies. While fostering the academic advancement of AI is critical, we also believe there's an important role for Corporate Canada to play in advancing the entrepreneurial exploration of commercial AI applications in this country and around the world. RBC has already established RBC Research with labs in Toronto and Edmonton to advance academic research in AI and to explore potential business applications, while Magna is partnering with universities, research institutions, venture firms and startups around the world on potential breakthroughs and solutions offered by artificial intelligence. The program – a result of that summer brainstorm – is the first of its kind in Canada, and will bring global AI talent and entrepreneurs to Toronto, where they'll work with corporate, academic and technology partners to create commercially viable AI ventures.
A car with a human at the wheel swerves to avoid a ball that rolls across the road, and an experienced driver knows to watch for a child chasing the ball, Mr. Walker told a conference Wednesday. Upgrade that car with AI, and it will automatically avoid the ball, and know to check for a child, by using its own sensors and by networking with AI systems in nearby cars that may have a better view. To continue reading this article, you must be a Globe Unlimited subscriber. Click here to get full access to Globe Unlimited.
In an effort to forge partnerships in a sector that will affect every industry, some of Canada's largest corporations are contributing to a $5 million fund for artificial intelligence startups. At a panel Wednesday morning to celebrate the launch of the program, called NextAI, executives from Royal Bank of Canada, Magna International Inc., Bank of Nova Scotia and the Business Development Bank of Canada laid out their vision for how artificial intelligence can transform their businesses. They're providing funding with no strings attached to the program, which will provide artificial intelligence startups with $200,000 in addition to access to technology, mentorship and education. The companies contributing to NextAI are essentially making donations, taking no equity and making no formal partnership agreements with the companies.