Start developing applications with advanced AI and computer vision today using NVIDIA's deep learning tools, including TensorRT and DIGITS. Webinar access will be emailed to you. Sign up anyway to get the recording! A renowned GPGPU developer and systems architect, Dustin Franklin works to deploy CUDA-accelerated embedded applications and solve challenging sensor processing problems on Jetson, NVIDIA's low-power, high-performance embedded platform. Dustin and his team utilize the parallel compute horsepower of NVIDIA GPUs for real-time computer vision, autonomous navigation, and other toolsets, to enable new product categories and industries.

Leading UK MPs are calling on the government to set up a commission on artificial intelligence (AI) to examine the potential problems the technology could create for future generations. A report into the issue by the House of Commons science and technology committee, which was chaired by MP Dr Tania Mathias warned that the government is failing to prepare for how AI will "fundamentally" change people's lives. The research concluded that there is no strategy for developing the new skills workers will need to succeed as AI becomes more popular, and cautioned that more must be done to tackle the ethical and social problems posed by the advent of robots. "Concerns about machines'taking jobs' and eliminating the need for human labour have persisted for centuries. Nevertheless it is conceivable that we will see AI technology creating new jobs over the coming decades while at the same time displacing others," said Mathias. Dr Cotton-Barratt from the Future of Humanity Institute, who is quoted in the report, said that the UK is "well-positioned" to respond to this challenge.

IT'S HARD TO think of a single technology that will shape our world more in the next 50 years than artificial intelligence. As machine learning enables our computers to teach themselves, a wealth of breakthroughs emerge, ranging from medical diagnostics to cars that drive themselves. A whole lot of worry emerges as well. Will it take over our jobs? President Obama was eager to address these concerns.

From shipping to shopping, nearly every industry across the globe has undergone a data revolution. Companies now have the ability to collect massive amounts of information from every facet of their operations--information that's unparalleled not only in its sheer quantity but also in its frequency and immediacy. This data deluge is transforming not only the way executives run their companies, but also the way those companies are audited. The potential benefits of this shift are broad and far-reaching. At the same time, customer demands are evolving, says Felice Persico, EY Global Vice Chair for Assurance.

Car manufacturers will have difficulty demonstrating just how safe self-driving vehicles are because of what's at the core of their smarts: machine learning. "You can't just assume this stuff is going to work," says Phillip Koopman, a computer scientist at Carnegie Mellon University who works in the automotive industry. In 2014, a market research firm projected that the self-driving car market will be worth 87 billion by 2030. Several companies, including Google, Tesla, and Uber, are experimenting with computer-assisted or fully autonomous driving projects--with varying success because of the myriad technical obstacles that must be overcome. Koopman is one of several researchers who believe that the nature of machine learning makes verifying that these autonomous vehicles will operate safely very challenging.

Our team at Shopify has been working on "conversational commerce" for about year now. On Oct 5th, we launched the ability for hundreds of thousands of Shopify merchants to get their products into chat threads and sell directly to their customers through Facebook Messenger. While we were thrilled to get some awesome press coverage, a part of the story that many got wrong was that Shopify had built a bot. In the experience you see above, there's no natural language processing, AI, or even character in the responses. We did something subtly different, but powerful: we simply enabled a merchant's product catalogue to exist richly inside of Messenger, and then we got out of the way. As much as we love the innovation happening in the conversational commerce space, our opinion today is that bots are not the right medium to drive it forward.

While artificial intelligence (AI) and robotics are starting to play a more valuable role in people's lives, a new report states that the UK is ill-prepared for an inevitable autonomous future. The House of Commons Science and Technology Committee said today that the UK government "does not yet have a strategy" for fostering AI and robotics or properly considered the "social and ethical dilemmas" they may pose. Ministers found that while such systems are still in their infancy, AI is already starting to have "transformational impacts" on society, suggesting now is the time to evaluate possible the potential ramifications of its growth. The report touches on the development of driverless cars and emergence of supercomputers that can beat world champions at an ancient Chinese board game and questions whether the government has a plan for when "algorithms" go wrong (we all know how Ex Machina played out). "Artificial intelligence has some way to go before we see systems and robots as portrayed in the creative arts such as Star Wars," says Dr Tania Mathias, interim Chair of the Committee.

Last month, giants in the field of deep learning, Amazon, Facebook, Google, IBM and Microsoft, announced the launch of a non-profit organization to focus on the ethics and best practices of Artificial Intelligence. The companies involved with the Partnership on AI are known for the huge strides made in the development of Artificial Intelligence in competition with one another. The partnership has stated its objectives "to address opportunities and challenges with AI technologies to benefit people and society." Which comes amidst growing concerns about the future risks of artificial intelligence. Concerns and predictions ranging from job loss to Skynet-like scenarios have saturated the internet.

During his eight years in office, President Barack Obama has seen hackers grow into a threat no president has faced before. US intelligence and law enforcement agencies have responded to everything from a Chinese hack of Google in 2009 to Russian digital meddling in this election. He's learned, as a result, to think a few moves ahead. And that includes preparing for possibilities that others might consider science fiction--like the possibility of an artificial intelligence trained through machine learning and tasked with stealing US nuclear codes. In an era when hackers can steal the fingerprints of 5.6 million federal employees and or pull off a modern version of Watergate, he wonders whether sophisticated adversaries might use AI to infiltrate the government's most sensitive systems.

Historically, when new technologies become easier to use, they transform industries. That's what's happening with artificial intelligence and big data; as the barriers to implementation disappear (cost, computing power, etc.), more and more industries will put the technologies into use, and more and more startups will appear with new ideas of how to disrupt the status quo with these technologies. By my predictions, the AI revolution isn't coming, it's already here, and we'll see it first in a few key sectors. Most people agree that healthcare is broken, and many startups believe that the biggest answer is putting the power back in the hands of the patient. We're all carrying the equivalent of Star Trek's tricorder around in our pockets (or an early version, at any rate) and smartphones and other smart devices will continue to advance and integrate with AI and big data to allow individuals to self-diagnose.