Lifeboat Foundation

Could we see race car driver careers become all AI? Nvidia is testing the concept.

Formula E is going completely autonomous with the all-new Roborace series slated for the upcoming race season. At its GTC developer conference, Nvidia announced these autonomous, electric race cars will be powered by Nvidia Drive PX 2, a supercomputer built for self-driving cars.

Drive PX 2 is powered by 12 CPU cores and four Pascal GPUs that provides eight teraflops of computer power. The supercomputer-in-a-box is vital to deep learning and trains artificial intelligence to adapts to different driving conditions, including asphalt, rain and dirt.

Continue reading “Here’s how Nvidia is powering an autonomous, electric race car” »

At a time when PCs have become rather boring and the market has stagnated, the Graphics Processing Unit (GPU) has become more interesting and not for what it has traditionally done (graphical user interface), but for what it can do going forward. GPUs are a key enabler for the PC and workstation market, both for enthusiast seeking to increase graphics performance for games and developers and designers looking to create realistic new videos and images. However, the traditional PC market has been in decline for several years as consumer shift to mobile computing solutions like smartphones. At the same time, the industry has been working to expand the use of GPUs as a computing accelerator because of the massive parallel compute capabilities, often providing the horsepower for top supercomputers. NVIDIA has been a pioneer in this GPU compute market with its CUDA platform, enabling leading researchers to perform leading edge research and continue to develop new uses for GPU acceleration.

Now, the industry is looking to leverage over 40 years of GPU history and innovation to create more advanced computer intelligence. Through the use of sensors, increased connectivity, and new learning technique, researchers can enable artificial intelligence (AI) applications for everything from autonomous vehicles to scientific research. This, however, requires unprecedented levels of computing power, something the NVIDIA is driven to provide. At the GPU Technology Conference (GTC) in San Jose, California, NVIDIA just announced a new GPU platform that takes computing to the extreme. NVIDIA introduced the Telsa P100 platform. NVIDIA CEO Jen-Hsun Huang described the Tesla P100 as the first GPU designed for hyperscale datacenter applications. It features NVIDIA’s new Pascal GPU architecture, the latest memory and semiconductor process, and packaging technology – all to create the densest compute platform to date.

“Chat bots tap into two very current preoccupations. On one hand, the hope that they can actually work is a reflection of the ongoing explosion of AI, and on the other, they offer a way to reach users without having to get them to install an app.”

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Reports of the death of car-buying among millennials turn out to have been greatly exaggerated. But there’s one big reason ride-hailing services like Uber, and eventually autonomous vehicles, are still a threat to private car ownership.

Put simply, we just don’t use our cars very much.

Ask a member of Facebook’s growth team what feature played the biggest role in getting the company to a billion daily users, and they’ll likely tell you it was photos. The endless stream of pictures, which users have been able to upload since 2005, a year after Facebook’s launch, makes the social network irresistible to a global audience. It’s difficult to imagine Facebook without photos. Yet for millions of blind and visually impaired people, that’s been the reality for over a decade.

Not anymore. Today Facebook will begin automatically describing the content of photos to blind and visually impaired users. Called “automatic alternative text,” the feature was created by Facebook’s 5-year-old accessibility team. Led by Jeff Wieland, a former user researcher in Facebook’s product group, the team previously built closed captioning for videos and implemented an option to increase the default font size on Facebook for iOS, a feature 10 percent of Facebook users take advantage of.

Automatic alt text, which is coming to iOS today and later to Android and the web, recognizes objects in photos using machine learning. Machine learning helps to build artificial intelligences by using algorithms to make predictions. If you show a piece of software enough pictures of a dog, for example, in time it will be able to identify a dog in a photograph. Automatic alt text identifies things in Facebook photos, then uses the iPhone’s VoiceOver feature to read descriptions of the photos out loud to users. While still in its early stages, the technology can reliably identify concepts in categories including transportation (“car,” “boat,” “airplane”), nature (“snow,” “ocean,” “sunset”), sports (“basketball court”), and food (“sushi”). The technology can also describe people (“baby,” “smiling,” beard”), and identify a selfie.

Continue reading “Facebook begins using artificial intelligence to describe photos to blind users” »

And the company behind it is ran by a brilliant 26 year old hacker.

We’re already seeing amazing things in the delivery services space for consumers with drones and self-navigating delivery services by companies like Dominos, etc. I cannot wait until we see more self check in hotels, resorts, and more 24×7 automated stores. Everything will be great, as long as security is great.

This self-driving robot can take the grocery-shopping burden off your shoulders and deliver your goods to your doorstep. Starship Technologies has already launched the intelligent robot and delivery trials have started in Greenwich, London.

Starship Technologies was founded by the same people who founder Skype. Ahti Heinla and Janus Friis plans to reshape local deliveries and also lend a hand in zero-emission deliveries worldwide.

Continue reading “Self-Driving Robot Promises To Revolutionize Local Deliveries” »

Good read; and highlights fair arguments around science and technology innovations and their patents. CRISPR was highlighted; however, the same can be applied to things like AI. What happens when a Humanoid robot owned by an investment bank innovates and develops new technology for Wall Street? The humanoid robot was (in this example) created by Microsoft; however, is owned by a Goldman Sachs. Who truly owns this new technology innovation? Could we see Goldman Sachs owning 70% of the patent & Microsoft owning 30%?

The worlds of science, technology and patent law eagerly await the U.S. government’s decision on who deserves patents on what many have referred to as the biotechnology invention of the century: the CRISPR/Cas9 gene-editing technique.

Scientists hail CRISPR/Cas9 as more accurate and efficient than other, now-traditional genetic engineering methods. As a result, CRISPR has generated worldwide debate about how it could accelerate the manipulation of plants, animals and even human beings at the molecular level. That some DNA modifications can be passed on to future generations raises particular concern.

Continue reading “CRISPR Dispute Raises Bigger Patent Issues That We’re Not Talking About” »

The new vessel designed to track Chinese and Russian subs is slated to be christened this April.