Nvidia has been a leader in producing the technology behind high-quality graphics for years, but the company is now betting on a different future. With the rapid advances in self-driving vehicles, warehouse robots, diagnostic assistants, and speech and facial recognition, there's plenty of reasons for companies to be excited about deep-learning-based artificial intelligence (AI). Nvidia is one such technology firm that is extremely bullish in this space. In a recent conversation with CXOtoday, Vishal Dhupar, Managing Director-South Asia, Nvidia said that the company is moving ahead with its AI-focused hardware, software, and solutions for the enterprise. As such data scientists in both industry and academia have been using graphics processing units (GPUs) for machine learning to make groundbreaking innovations across a variety of applications including image classification, video analytics, speech recognition and natural language processing or NLP.
There is a huge paucity of professionals with skills in deep learning, artificial intelligence, big data analytics and virtual reality that will be vital for the computing industry in the next few years, according to Vishal Dhupar, Managing Director, NVIDIA (South Asia), a part of the $7-billion US-based tech company NVIDIA. "Developers in many other countries are already strong in AI. India should not miss this opportunity, and developers should be strong in developing AI-based solutions for the world," he said. India has the second-largest population of developers with nearly 30 per cent of them having knowledge on Python, which is a rule-based programming. However, the next wave of programming based on AI will be in sectors such as automobiles, healthcare and retail, with each presenting an over-$1-trillion opportunity for developers, he added.
Nvidia became famous for its graphics processing unit chips that power some of the hottest gaming personal computers. Today, Chief Executive Jen-Hsun Huang signaled that he's aiming even higher in a bid to reinvent the data center and cloud computing. The company announced a new chip and a new computers both focused on artificial intelligence, in particular the fast-rising branch called deep learning that attempts to mimic the activity on layers of neurons in the brain. The technology is the basis for recent breakthroughs in speech and image recognition, self-driving cars and other technology-driven products and services. "Our company has gone all-in on deep learning," Huang said at the Apr. 5 opening of its annual GPU Technology Conference in San Jose, where he made the announcements.
December 21, 2017: Business Wire India NVIDIA brought together the best minds in research, academia and industry across Hyderabad, Chennai, Mumbai, Pune, Delhi and Bangalore 42 speaker sessions from leading experts in fields such as computer vision, sensor fusion, software development, regulation and HD mapping provide expertise NVIDIA today completed its first edition of Developer Connect 2017 in Bangalore. The six-city developer roadshow witnessed over 5,000 attendees who experienced some of the highest quality workshops and demonstrations of AI and deep learning tools, designed to meet the challenges big data presents. Attendees got a closer look at NVIDIA's DGX systems, as well as the opportunity to learn more about its new Volta architecture. Both the DGX-1 and DGX Station were on display to demonstrate the full power of these AI supercomputers. The concluding segment witnessed prominent speakers from organizations such as Ola, Cognitive Computing, Microsoft, Hewlett Packard Enterprise Labs, Shell India, Sony India and Aditya Imaging Information Technologies provide their views.
It was in this same dingy diner in April 1993 that three young electrical engineers--Malachowsky, Curtis Priem and Nvidia's current CEO, Jen-Hsun Huang--started a company devoted to making specialized chips that would generate faster and more realistic graphics for video games. "We've been investing in a lot of startups applying deep learning to many areas, and every single one effectively comes in building on Nvidia's platform," says Marc Andreessen of venture capital firm Andreessen Horowitz. Starting in 2006, Nvidia released a programming tool kit called CUDA that allowed coders to easily program each individual pixel on a screen. From his bedroom, Krizhevsky had plugged 1.2 million images into a deep learning neural network powered by two Nvidia GeForce gaming cards.