What is common between Analytics, Big Data, Machine Learning, and Internet of Things (IoT)? Are those two lines too little to be self-explanatory? Let me expand on this. The connected world today has upwards of 6 billion devices that are linked to each other via the internet superhighway. The number is expected to grow close to 75 billion by 2020 as per a recent Morgan Stanley report.
The promise of artificial intelligence has captured our cultural imagination since at least the 1950s--inspiring computer scientists to create new and increasingly complex technologies, while also building excitement about the future among regular everyday consumers. What if we could explore the bottom of the ocean without taking any physical risks? While our understanding of AI--and what's possible--has changed over the the past few decades, we have reason to believe that the age of artificial intelligence may finally be here. So, as a developer, what can you do to get started? While there are a lot of different ways to think about AI and a lot of different techniques to approach it, the key to machine intelligence is that it must be able to sense, reason, and act, then adapt based on experience.
Uber says it intends to continue a self-driving car test program in San Francisco in defiance of warnings from California's Department of Motor Vehicles that it faces legal consequences for not getting a $150 permit for the project. The state Attorney General's office joined the DMV late Friday in demanding that Uber halt the program immediately. In a letter to Anthony Levandowski, head of the ride-hailing company's automated vehicle team, the state's highest legal office asked Uber to "adhere to California law and immediately remove its'self-driving' vehicles from the state's roadways until Uber complies with all applicable statutes and regulations." Should it fail to do so, "the Attorney General will seek injunctive and other appropriate relief," said Miguel Neri and Fiel Tigno, Supervising Deputy Attorneys General. State rules on autonomous vehicles "don't apply" to Uber's program, Levandowski said in a conference call earlier Friday.
'Many people have been doing research on paying attention and situation awareness. 'But, in addition, there is this physical change and we need to acknowledge that people's performance might not be at its peak if they haven't actively been participating in the driving.' Watch out, Uber! BMW seeks to be'coolest' ride-hailing firm... Driverless cars are let loose at a Nissan production plant:... Now Apple invests in driverless cars: Firm finally admits... The car that means you'll never have to stop at a red light:... Watch out, Uber! BMW seeks to be'coolest' ride-hailing firm... Driverless cars are let loose at a Nissan production plant:... Now Apple invests in driverless cars: Firm finally admits... The car that means you'll never have to stop at a red light:...
As the capability of new artificial intelligence systems improve more organisations are leveraging AI products and tools to help them maintain and extend their competitive edge Uber have announced that they've launched an artificial intelligence (AI) lab and acquired Geometric Intelligence, an AI startup, as the company looks to use the technology to improve the performance and efficiency of its driverless vehicles and products. DeepMinds AI based WaveNet tech makes computers sound human The effort marks Uber's biggest step yet into AI, which has become a key competitive battleground for the technology companies dotted along the west coast, and its use in the transportation space is hotting up substantially as companies, such as Tesla, who have their own AI lab, along with many others begin to use AI in anger to improve the performance of their autonomous vehicles and optimise their services – which, in Ubers case will likely include their using AI to improve routing, matching passengers to rides, and one day using it to underpin their future flying taxi service. "With all of its complexity and uncertainty, negotiating the real world is a high order intelligence problem," said Jeff Holden, Uber's Chief Product Officer, and he pointed to cars, planes and robotics as all needing better navigational intelligence. As tech companies increase their focus on AI, buying AI start ups in oder to get into the space has become more common. Terms of Uber's acquisition were not disclosed, but its new AI lab will be formed from the staff at Geometric Intelligence and led by Gary Marcus, a cognitive scientist at New York University.
Driverless cars are set to improve, disrupt, and challenge the way we travel--someday. As of now, self-driving cars aren't available for widespread use, as they aren't sufficiently developed or safe to be commercially sold. It may take decades before they are able to infiltrate the market or gain enough public acceptance to be successful. Seth Birnbaum is CEO of EverQuote, the largest online auto insurance marketplace in the US. Even though autonomous vehicles haven't gone mainstream, US government regulators published their automated vehicle policy in September, and many states are working to develop regulations for autonomous cars.
Tech giant Intel has announced a new strategy focused on artificial intelligence (AI) and based on a new portfolio of technologies centered on its recent acquisition of AI company Nervana Systems. The new portfolio will include products and services for everything from network edge to data center use cases to help accelerate the growth of AI technologies. "Intel sees AI transforming the way businesses operate and how people engage with the world," the company said in a statement yesterday. "Intel is assembling the broadest set of technology options to drive AI capabilities in everything from smart factories and drones to sports, fraud detection and autonomous cars." Dubbed Intel Nervana, the new platform comes courtesy of the company's acquisition of the two-year-old Nervana Systems announced three months ago.
Car companies are undergoing a period of incredible change. Historically, the industry has represented a standard hardware-based business model, with seven year development cycles for new product releases. Increasingly however, the value of modern vehicles is being defined more by their digital touchpoints (i.e. One report from Morgan Stanley estimated that while 90% of the value of today's vehicles comes from hardware, this would fall to about 40% in an autonomous car environment. Based on the size of the global car market last year alone, that represents a shift of over $4 trillion towards installed software and digital experiences.
SAN FRANCISCO, Nov. 17, 2016 – Intel Corporation today announced a range of new products, technologies and investments from the edge to the data center to help expand and accelerate the growth of artificial intelligence (AI). Intel sees AI transforming the way businesses operate and how people engage with the world. Intel is assembling the broadest set of technology options to drive AI capabilities in everything from smart factories and drones to sports, fraud detection and autonomous cars. At an industry gathering led by Intel CEO Brian Krzanich, Intel shared how both the promise and complexities of AI require an extensive set of leading technologies to choose from and an ecosystem that can scale beyond early adopters. As algorithms become complex and required data sets grow, Krzanich said Intel has the assets and know-how required to drive this computing transformation.
"Intel sees AI transforming the way businesses operate and how people engage with the world," the company said in a statement yesterday. "Intel is assembling the broadest set of technology options to drive AI capabilities in everything from smart factories and drones to sports, fraud detection and autonomous cars." Dubbed Intel Nervana, the new platform comes courtesy of the company's acquisition of the two-year-old Nervana Systems announced three months ago. The platform will be optimized for AI workloads with an emphasis on both speed and ease of use. The first product in the platform, a chip codenamed "Lake Crest," will begin testing in the first half of next year and will eventually be available to key customers later that year, according to Intel.