Abraham Lincoln once said, "Give me six hours to chop down a tree and I will spend the first four sharpening the axe." Building out actionable Artificial Intelligence (AI) is a task that requires the right tools in order to be executed in an efficient manner. Visionaries across the government are looking for ways to apply AI to enable efficiencies, reinvent the way we defend the network, drive the mission–and change the world. Hostile actors are taking advantages of advances in technology and now every organization across the DoD is asking, What do I do next? Join NVIDIA, NetApp, and Cisco to learn about how to sharpen your IT infrastructure axe, so your organization can tackle your AI/ML tasks in the most efficient manners possible.
It all started with a tweet. Investor Kirby Winfield felt like Microsoft was far more important to the startup scene of the Pacific Northwest than most people realized. So he dashed off a few names -- from Rover CEO Aaron Easterly to Zulily co-founder Darrell Cavens -- who once worked for the software giant. "I have always been surprised that the trope'Microsoft people don't make good startup founders' is received wisdom in many Seattle tech circles. It conflicts with what I've seen personally as a startup operator and an investor," Winfield told GeekWire in a follow-up email.
San Francisco: Jensen Huang, co-founder, president and chief executive officer of Santa Clara-based Nvidia Corp., says that the rapid adoption of artificial intelligence (AI) technologies such as machine learning, deep learning, natural language processing and computer vision augur well for the growth prospects of his company. His confidence stems from the fact that Nvidia designs the chips that can deliver the extra computing power that clients need in an algorithm-driven world, which is increasingly using these AI technologies to make business sense of the voluminous data that users generate and thus gain a competitive edge. These chips, called graphics processing units (GPUs), helped Nvidia fuel the growth of the personal computer gaming market almost two decades back. Huang hopes the increasing use of GPUs for AI will help his company repeat the success. Huang argues that even when you increase the number of central processing unit transistors in a computer, they result in a small increase in application performance, whereas GPUs, which are specifically designed to handle multiple tasks simultaneously, make them more suitable for high-performance computing tasks.
NVIDIA today announced breakthroughs in language understanding that allow businesses to engage more naturally with customers using real-time conversational AI. NVIDIA's AI platform is the first to train one of the most advanced AI language models -- BERT -- in less than an hour and complete AI inference in just over 2 milliseconds. This groundbreaking level of performance makes it possible for developers to use state-of-the-art language understanding for large-scale applications they can make available to hundreds of millions of consumers worldwide. Early adopters of NVIDIA's performance advances include Microsoft and some of the world's most innovative startups, which are harnessing NVIDIA's platform to develop highly intuitive, immediately responsive language-based services for their customers. Limited conversational AI services have existed for several years.
A growing number of startups are producing meat in a lab, sparing animals from slaughter. They want to bring cell-based beef, poultry, pork and fish to your plate. But they face scrutiny from consumers, regulators and food-safety advocates. If you're going to apply for a job at a startup, why not start with the best? The unique experience of working with a small, specialized team means you could have greater responsibilities and more opportunities to shine.