Nvidia unveiled its Jetson TX2 platform to power drones with good artificial intelligence. The platform includes the Jetson TX2 "embedded AI supercomputer," a chip and its surruonding hardware that can power 4K video drones that consume only about 7.5 watts of power. Drones with the TX2 solution can operate two cameras simultaneously. The Jetson 3.0 platform was designed for AI "at the edge" of the network, rather than in the cloud, or Internet-connected data center. Drones with cameras can capture a huge amount of data. This means Jetson has to handle a lot of the processing of data at the edge, in the device itself, rather than transferring all of that data to the cloud, said Deepu Talla, vice president and general manager of Nvidia's Tegra business unit, at a press event in San Francisco.

A super computer the size of a credit card that can power artificial intelligence (AI) such as robots, drones and smart cameras, has been unveiled by computer graphics firm Nvidia. Revealed at an event in San Francisco, the super intelligent yet tiny device is called the Jetson TX2 and is part of an Internet of Things (IoT) platform that looks to make the world's cities smarter and safer by enabling a "new class of intelligent machines" across manufacturing and retail industries. In what could help kick start the robot revolution, the Jetson TX2 is aimed at anyone developing some form of AI, from researchers and start-up companies to schools and enterprises. It is said to deliver better AI computing "on the edge" to run larger, deeper neural networks, meaning devices that it powers will be smarter and run with higher accuracy and faster response times. This could improve tasks in current technology such as image classification, navigation and speech recognition, Nvidia said.

The Raspberry Pi may be the most widely known board computer being sold, but Nvidia's Jetson TX2 is one of the fastest. The Jetson TX2, unveiled Tuesday, is a full Linux computer on a tiny board the size of a Raspberry Pi. It's designed to help make robots, drones and other devices that rely on computer vision applications. The board's main attraction is a GPU based on Nvidia's latest Pascal architecture, which is also in the company's fastest GPUs, like the Tesla P100. The Pascal GPU brings computer vision to robots and drones, allowing them to recognize objects and navigate around obstacles.

As the race to get autonomous vehicles on the road revs up, there has been much discussion in the auto industry about who will lead the charge. Because of the new technologies involved in the development of self-driving cars, many initially assumed that Silicon Valley would take the driver's seat instead of Detroit. But it's becoming increasingly clear that it will take the unique strengths of both Silicon Valley and Detroit to make self-driving cars a reality. Manufacturing cars is no simple task, in part because of the many safety regulations governing the fabrication and operation of automobiles. Plus, there are supply chains, rigorous testing, and an infrastructure of dealerships to contend with.

Google announced Friday that it has achieved state-of-the-art results in using artificial intelligence to identify breast cancer. The findings are a reminder of the rapid advances in artificial intelligence, and its potential to improve global health. Google used a flavor of artificial intelligence called deep learning to analyze thousands of slides of cancer cells provided by a Dutch university. Deep learning is where computers are taught to recognize patterns in huge data sets. With 230,000 new cases of breast cancer every year in the United States, Google (GOOGL, Tech30) hopes its technology will help pathologists better treat patients.

Nvidia has a new generation of its Jetson embedded computing platform for devices at the edge of a network, including things like traffic cameras, manufacturing robotics, smart sensors and more. The Jetson TX2 has twice the performance of its predecessor, the TX1, or it can also redirect efficiency to power savings, using less than half the power consumption of the original to achieve the same processing abilities. The TX2 uses a Pascal-based GPU, as well as two 64-bit Nvidia quad-core ARM chips, with 8GB of RAM on board and 32GB of fast flash storage. It also features built-in 802.11ac Wi-Fi networking, Bluetooth connectivity and 1GB Ethernet for wired connections.

Artificial intelligence has rapidly become an integral part of wealth management, so that computers and algorithms analyze massive amounts of financial data to spit out stock recommendations and other types of advice. Yet it's taken a bit longer to figure out a way to apply this technology to consumers' day-to-day spending and saving habits. But over the past year there's been an explosion in the number of artificially intelligent personal finance chatbots, suggesting that we're entering a new phase of digital assistance. Some of these digital assistants have human names like Olivia and Abe, while others go for succinct monosyllables like Plum and Trim. Financial institutions have started rolling out their own apps, too, like Bank of America's Erica that's purported to help customers make smarter financial decisions.

NVIDIA just announced the Jetson TX2 embedded AI supercomputer, based on the latest NVIDIA Pascal microarchitecture. It promises to offer twice the performance of the previous-generation Jetson TX1, in the same package. In this tech report, we will share with you the full details of the new Pascal-based NVIDIA Jetson TX2! Artificial intelligence is the new frontier in GPU compute technology. Whether they are used to power training or inference engines, AI research has benefited greatly from the massive amounts of compute power in modern GPUs. The market is led by NVIDIA with their Tesla accelerators that run on their proprietary CUDA platform.

Germany and Japan, March 8, 2017 --- Deutsches Forschungszentrum für Künstliche Intelligenz (German Research Center for Artificial Intelligence, 'DFKI') and Hitachi, Ltd. (Hitachi) today announced the joint development of AI (artificial intelligence) technology for human activity recongnition of workers using wearable devices. The AI technology performs real-time recognition of workers' activities by integrating technology in eye-tracking glasses*1to recognize gazed objects with technology in armband devices to recognize action. The recognition ability of each activity is achieved by having the AI understand the tools or parts used at the production site as well as anticipated actions through Deep Learning*2. DFKI and Hitachi will use this newly developed AI technology to assist operations and prevent human error, to contribute to enhancing quality and efficiency on the front line of manufacturing. In line with initiatives such as Industry 4.0*3in Germany and Society 5.0*4in Japan, the manufacturing industry is accelerating steps towards innovating production using AI and robotics, and the automation of menial tasks.

First they figured out how to play checkers and backgammon. Then they mastered chess, Go, "Jeopardy!" and even a few Atari video games. Now computers can challenge humans at the poker table -- and win. DeepStack, a software program developed at the University of Alberta's Computer Poker Research Group, took on 33 professional poker players in more than 44,000 hands of Texas hold'em. Overall, the program won by a significantly higher margin than if it had simply folded in each round, according to a new study in Science.