As a sign of its coming of age, the GPU Technology Conference (GTC) held annually in San Jose, California since 2009, is no longer a niche event but one that is drawing the who’s who […]
Tag: AI
Finally, the Big Bang for AI!
Artificial intelligence (AI) is not new. In fact, it has so many false starts over the past 60 years. The term went into hibernation for a long time.
Research into AI began way back in Dartmouth College in 1956 and was constantly associated with being the next frontier in the 1980s when mainframe computers ruled and supercomputers were a ginormous investment that very few could afford.
Despite the research put in over the years, the technology never quite took off and fell flat in many instances.
NVIDIA to train 100,000 deep learning developers this year
Interest in deep learning is growing so strongly that NVIDIA expects to train 100,000 developers this year — that’s 10 times more than last year —through its Deep Learning Institute (DLI).
According to research firm IDC, 80 percent of all applications will have an artificial intelligence (AI) component by 2020.
Greg Estes, Vice President of Developer Programs at NVIDIA, noted that there is a hunger for deep learning training. He cited the example of a DLI training at India Institute of Technology (IIT) in India where people came at 7.30am to try to sign up for a fully subscribed course.
Singapore goes big on AI
Singapore is banking big on artificial intelligence to provide solutions in finance, city management and healthcare. The National Research Foundation (NRF) will be investing up to S$150 million over the next five years in AI.SG, […]
Caffe2, anyone?
Facebook is developing new artificial intelligent (AI) systems to help manage the vast amount of information — such as text, images and videos — generated daily so people can better understand the world and communicate more effectively, even as the volume of information increases.
It has worked with NVIDIA on Caffe2, a new AI deep learning framework that allows developers and researchers to create large-scale distributed training scenarios and build machine learning applications for edge devices.
Providing AI-powered services on mobile is a complex data processing task that must happen within the blink of an eye. Increasingly, the processing of lightning-fast AI services requires GPU-accelerated computing, such as that offered by Facebook’s Big Basin servers, as well as highly optimised deep learning software that can leverage the full capability of the accelerated hardware.
NVIDIA and Microsoft to accelerate AI cloud computing
NVIDIA and Microsoft are working on a new hyperscale GPU accelerator that will provide hyperscale data centres with a fast, flexible path for artificial intelligence (AI).
The new HGX-1 hyperscale GPU accelerator is an open-source design released in conjunction with Microsoft’s Project Olympus.
HGX-1 does for cloud-based AI workloads what ATX — Advanced Technology eXtended — did for PC motherboards when it was introduced more than two decades ago. It establishes an industry standard that can be rapidly and efficiently embraced to help meet surging market demand.
New Jetson doubles performance
The newly-announced NVIDIA Jetson TX2, a credit card-sized platform that delivers artificial intelligence (AI) computing at the edge, opens the door to powerfully intelligent factory robots, commercial drones and smart cameras for AI cities. Jetson […]
RIKEN turns to NVIDIA supercomputer for deep learning research
RIKEN, Japan’s largest comprehensive research institution, will have a new supercomputer for deep learning research in April. Built by Fujitsu using 24 NVIDIA DGX-1 AI systems, the new machine will accelerate the application of artificial intelligence (AI) to […]
Youtube: 1b hours of viewing per day!
One billion hours! That’s a lot of time to spend watching video online. And did we say that it’s one billion hours per day. And for just one site. Of course, it helps that that […]
Gunning for supercomputing supremacy in Japan
Tokyo Institute of Technology plans to create Japan’s fastest AI supercomputer, which is will deliver more than twice the performance of its predecessor to slide into the world’s top 10 fastest systems.
Called Tsubame 3.0, it will use Pascal-based NVIDIA P100 GPUs that are nearly three times as efficient as their predecessors, to reach an expected 12.2 petaflops of double precision performance.
Tsubame 3.0 will excel in AI computation with more than 47 PFLOPS of AI horsepower. When operated with Tsubame 2.5, it is expected to deliver 64.3 PFLOPS, making it Japan’s highest performing AI supercomputer.
Mercedes and NVIDIA to bring AI-powered car to market
Many cars were on display at CES last week but perhaps one of the most significant announcements is the collaboration between Mercedes-Benz and NVIDIA to bring an NVIDIA AI-powered car to market.
NVIDIA founder and CEO Jen-Hsun Huang (right) and Mercedes-Benz Vice President of Digital Vehicle and Mobility Sajjad Khan (left) talked about this new development at the Mercedes Benz Inspiration talk.
“When our teams came together there was instant chemistry, and we share a common vision about how AI can change your driving experience, and make it more enjoyable. Mercedes-Benz and NVIDIA share a common vision of the AI car. At this point it is clear AI will revolutionise the future of automobiles,,” said Huang, who pointed out that the collaboration began three years ago.
1 in 5 user interaction with smartphone will be via VPAs in 2019
Advances in various technologies will drive users to interact with their smartphones in more intuitive ways, said Gartner. It expect that, by 2019, 20 percent of all user interactions with the smartphone will take place via virtual personal assistants (VPAs).
“The role of interactions will intensify through the growing popularity of VPAs among smartphone users and conversations made with smart machines,” said Annette Zimmermann, Research Director of Gartner.
Gartner’s annual mobile apps survey conducted in Q4 among 3,021 consumers across three countries (US, UK and China) found that 42 percent of respondents in the US and 32 percent in the UK used VPAs on their smartphones in the last three months. More than 37 percent of respondents (average across US and UK) used a VPA at least one or more times a day.
SMU uses NVIDIA DGX-1 supercomputer for food recognition project
Singapore is renowned as a food paradise. And with so many mouth-watering dishes to pick from, sometimes even locals have difficulty identifying a specific dish.
Singapore Management University (SMU) is working on a food artificial intelligence (AI) application that is calling on a supercomputer to help with recognising the local dishes to achieve smart food consumption and healthy lifestyle.
The project, developed as part of Singapore’s Smart Nation initiative, requires the analysis of a large number of food photos.
NVIDIA unleashes palm-sized AI computer for autonomous vehicles
NVIDIA has unveiled a palm-sized, energy-efficient artificial intelligence (AI) computer that car makers can use to power automated and autonomous vehicles for driving and mapping.
The new single-processor configuration of the NVIDIA DRIVE PX 2 AI computing platform for AutoCruise functions — which include highway automated driving and HD mapping — consumes just 10 watts of power and enables vehicles to use deep neural networks to process data from multiple cameras and sensors. It will be deployed by China’s Baidu as the in-vehicle car computer for its self-driving cloud-to-car system.
DRIVE PX 2 enables car makers and their tier 1 suppliers to accelerate production of automated and autonomous vehicles. A car using the small form-factor DRIVE PX 2 for AutoCruise can understand in real time what is happening around it, precisely locate itself on an HD map and plan a safe path forward.
Baidu and NVIDIA team up on self-driving car
Baidu and NVIDIA are partnering to leverage artificial intelligence (AI) to create a cloud-to-car autonomous car platform for Chinese and global car makers. The partnership combines Baidu’s cloud platform and mapping technology with NVIDIA’s self-driving computing platform to develop solutions for HD maps, Level 3 autonomous vehicle control and automated parking.
Baidu CEO Robin Li and NVIDIA CEO Jen-Hsun Huang announced the collaboration at Baidu World Conference in Beijing yesterday.
“We’re going to bring together the technical capabilities and the expertise in AI and the scale of two world-class AI companies to build the self-driving car architecture from end-to-end, from top-to-bottom, from the cloud to the car,” said Huang .
Entelechy Asia 