Element AI, a platform for companies to build AI solutions, raises $102M


Element AI -- a Montreal-based platform and incubator that wants to be the go-to place for any and all companies (big or small) that are building or want to include AI solutions in their businesses, but lack the talent and other resources to get started -- is announcing a mammoth Series A round of $102 million. They include Fidelity Investments Canada, Korea's Hanwha, Intel Capital, Microsoft Ventures, National Bank of Canada, NVIDIA, Real Ventures, and "several of the world's largest sovereign wealth funds." But the basic model is not: Element AI is tackling this problem essentially by leaning on trends in outsourcing: systems integrators, business process outsourcers, and others have built multi-billion dollar businesses by providing consultancy or even fully taking the reins on projects that businesses do not consider their core competency. Element AI says that initial products that can be picked up there include predictive modeling, forecasting models for small data sets, conversational AI and natural language processing, image recognition and automatic tagging of attributes based on images, 'aggregation techniques' based on machine learning, reinforcement learning for physics-based motion control, compression of time-series data, statistical machine learning algorithms, voice recognition, recommendation systems, fluid simulation, consumer engagement optimization and computational advertising.

Nvidia sets high target for 2017


Nvidia Corp. was on a victory lap at CES 2017 after recording monster stock growth in 2016, but it wasn't all horn-tooting. The company also unveiled new business plans that it hopes will maintain its stock momentum through the next few years. Clad in his token black leather jacket, Nvidia NVDA, 1.34% CEO Jen-Hsun Huang made three noteworthy announcements on the CES keynote stage in Las Vegas earlier this week. The first few were in Nvidia's traditional terrain: gaming, where its graphics processing chips have been used in high-powered videogames. But the other two focused on its newer operating segments: artificial intelligence and driverless cars, where it hopes to squeeze out even more juice over the long term.

Intel's Go supercomputer for cars points to a PC-like horsepower race


There's a race to put more computing power in self-driving cars, and it's shaping up to be eerily similar to an earlier battle between Intel and AMD to crank up PC horsepower. Intel at CES announced the powerful Go computer with up to 28 Xeon chips so self-driving cars can cruise the streets safely. Beyond Xeon, Go will also be available with either next-generation Atom chips or 5G connectivity. The first 40 self-driving BMW cars based on the Go will hit the streets in tests this year. Autonomous cars need a lot of computational power under the hood to avoid accidents and make smart driving decisions.

[session] Bert Loomis and AI in the Cloud By @IBMCloud @CloudExpo #AI #Cloud #DigitalTransformation


Bert Loomis was a visionary. This general session will highlight how Bert Loomis and people like him inspire us to build great things with small inventions. In their general session at 19th Cloud Expo, Harold Hannon, Architect at IBM Bluemix, and Michael O'Neill, Strategic Business Development at Nvidia, will discuss the accelerating pace of AI development and how IBM Cloud and NVIDIA are partnering to bring AI capabilities to "every day," on-demand. They will also review two "free infrastructure" programs available to startups and innovators. Speaker Bios Harold Hannon has worked in the field of software development as both an architect and developer for more than 15 years, with a focus on workflow, integration, and distributed systems.

Deep Learning in the Cloud with NVIDIA DIGITS and Titan-X GPUs starting at 0.49 per hour -


Deep learning users can now access pre-configured NVIDIA DIGITS Titan-X GPU instance starting at 49 cents per hour on Nimbix! Data Scientists and Deep learning users can now try the single-click solution on Cloud Service Provider Nimbix to launch an instance configured to run NVIDIA DIGITS on Titan-X GPUs at as low as 0.49/hour, the most affordable high performance GPUs compared to anywhere in the cloud, powered by Bitfusion Boost's Software Defined Supercompute technology. The NVIDIA Deep Learning GPU Training System (DIGITS) puts the power of deep learning in the hands of data scientists and researchers. The single-click solution lowers the barrier for deep learning developers and data scientists to spin up affordable Titan-X GPU instances powered by Bitfusion Boost's GPU virtualization technology.

AMAX Deep Learning Soultions


These solutions harness NVIDIA GPU technology to accelerate the development of complex neural nets, powering machine learning algorithms with unprecedented speed and accuracy. AMAX solutions include GPU workstations for Deep Learning development, and a powerful server featuring up to eight NVIDIA GPU cards for 56 TFlops of single precision performance. If your machine learning applications could use a GPU turbo boost, our NVIDIA-powered Deep Learning Solutions are the engine you need to accelerate breakthroughs. Let AMAX Deep Learning Solutions give your application the ultimate competitive edge.