At the keynote of NVIDIA AI Forum, NVIDIA CEO and Founder Jensen Huang called “Taiwan is the home of NVIDIA’s GeForce system”.
Video gaming is a US$100 billion industry and “GeForce PC gaming is the number one platform, nearly 200 million GeForce installed base,” declared Huang.
He announced the new NVIDIA Max-Q platform which lets gaming notebook makers produce faster, slimmer and quieter machines.
SoftBank Group has taken a US$4 billion stake in NVIDIA, according to Bloomberg. This dovetails nicely with SoftBank founder Masayoshi Son’s aim to become the biggest investor in technology over the next decade. NVIDIA’s stocks tripled last […]
Singapore will be focusing on four technology areas to build the foundation for its digital transformation. These are artificial intelligence (AI) and data science, cybersecurity, immersive media, and Internet of Things and future communications infrastructure.
At the opening of Infocomm Media Business Exchange at Marina Bay Sands Singapore Convention Centre, Minister for Communications and Information Dr Yaacob Ibrahim noted that “they are exciting fields with bright prospects in their own right, and they have great potential to transform other industries and enhance people’s lives”.
Artificial Intelligence and Data Science
The nation has established AI.SG, a national programme with funding of up to S$150 million to boost Singapore’s AI capabilities.
With all that rage of artificial intelligence (AI) powering driverless cars, the same technology can also be used to keep drivers safe. It can acts like a guardian angel and look our for danger (watch […]
The keynote address at Google I/O yesterday showed that Google is much more than just a search company. It is becoming more artificial intelligence (AI). Google is specifically using deep learning to help in many areas of everyday life.
Here are some as shared on Google’s blog post:
Google Assistant can help answer your questions and find information—but it can also help you get all kinds of useful things done. Today we’re adding a few more:
- Schedule new calendar appointments and create reminders. Starting today on Google Home, you can schedule appointments and soon you’ll also be able to add reminders. Since it’s the same Google Assistant across devices, you’ll be able to get a reminder at home or on the go.
- Make your home smarter. We now have 70+ smart home partners supporting the Google Assistant across Google Home and Android phones, including August locks, TP-Link, Honeywell, Logitech, and LG.
Robots driven by artificial intelligence (AI) are replacing workers in various labour-intensive and service sectors but doctors, lawyers and even IT professionals are at risk of being made redundant. Or at least, certain aspects of each of these practices.
According to Gartner, smart machines and robots may replace highly trained professionals in tasks within medicine, law and IT by 2022 — that’s just five years more!
“The economics of AI and machine learning will lead to many tasks performed by professionals today becoming low-cost utilities. AI’s effects on different industries will force the enterprise to adjust its business strategy. Many competitive, high-margin industries will become more like utilities as AI turns complex work into a metered service that the enterprise pays for, like electricity,” said Stephen Prentice, Vice President and Gartner Fellow.
Hundreds of thousands of computers in 150 countries have been hit by the WannaCry ransomware. While users are scampering around trying to fix their computers, the top of mind question is whether this could have […]
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 […]
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.
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 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, […]
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 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.
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, 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 […]
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 […]
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.
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.
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.
By Edward Lim
It’s been a long time coming but the next industrial evolution, dubbed the Fourth Industrial Revolution is nearly, if not already here.
Each revolution since the first led by water and steam power used to mechanise production in 1784 has been driven by technology in various forms. The Second Industrial Revolution leveraged electric power for mass production while the Third Industrial Revolution used electronics and information technology to automate production.
The next revolution builds on an increasingly digital economy and the fusion of various technologies, including the Internet, which is shaping the way people live, work, play, and relate to one another.
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 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 .
At his opening keynote address at GTC in San Jose, Jen-Hsun Huang, CEO of NVIDIA made a slew of announcements, including the world’s first deep learning supercomputer to meet the unlimited computing demands of artificial intelligence (AI).
As the first system designed specifically for deep learning, the NVIDIA DGX-1 comes fully integrated with hardware, deep learning software and development tools for quick, easy deployment. It is a turnkey system that contains a new generation of GPU accelerators, delivering the equivalent throughput of 250 x86 servers.
The DGX-1 deep learning system enables researchers and data scientists to easily harness the power of GPU-accelerated computing to create a new class of intelligent machines that learn, see and perceive the world as humans do. It delivers unprecedented levels of computing power to drive next-generation AI applications, allowing researchers to dramatically reduce the time to train larger, more sophisticated deep neural networks.
The new NVIDIA DRIVE PX 2 is set to give driverless cars a major boost.
Touted at the world’s most powerful engine for in-vehicle artificial intelligence, it allows the automotive industry to use artificial intelligence (AI) to tackle the complexities inherent in autonomous driving. NVIDIA DRIVE PX2 utilises deep learning on NVIDIA’s advanced GPUs for 360-degree situational awareness around the car, to determine precisely where the car is and to compute a safe, comfortable trajectory.
“Drivers deal with an infinitely complex world. Modern artificial intelligence and GPU breakthroughs enable us to finally tackle the daunting challenges of self-driving cars,” said Jen-Hsun Huang, Co-founder and CEO of NVIDIA. “NVIDIA’s GPU is central to advances in deep learning and supercomputing. We are leveraging these to create the brain of future autonomous vehicles that will be continuously alert, and eventually achieve superhuman levels of situational awareness. Autonomous cars will bring increased safety, new convenient mobility services and even beautiful urban designs – providing a powerful force for a better future.”
As the digital space becomes more cluttered and complex, advertisers are finding it increasingly difficult to determine the best way to reach their target customers.
Singtel Advertising has taken a step towards helping advertisers address this conundrum by leveraging artificial intelligence (AI) technology. It has inked an agreement with Appier to introduce the first programmatic TV solution in Singapore, enabling advertisers to more effectively reach Singapore’s substantial but fragmented TV-watching population.
With Appier’s programmatic TV platform, advertisers can now plan TV campaigns based on specific target audience profiles and purchase Singtel TV’s inventory with just a few clicks. Appier’s channel recommendation system will also incorporate insights from Singtel Advertising’s existing suite of analytics capabilities, enabling brands in Singapore to leverage automation to identify the most relevant channels.
NVIDIA has collaborated with a research team at Stanford University to create the world’s largest artificial neural network built to model how the human brain learns. The network is 6.5 times bigger than the previous record-setting network developed by Google in 2012.
Computer-based neural networks are capable of “learning” how to model the behaviour of the brain – including recognising objects, characters, voices, and audio in the same way that humans do.
Yet creating large-scale neural networks is extremely computationally expensive. For example, Google used approximately 1,000 CPU-based servers, or 16,000 CPU cores, to develop its neural network, which taught itself to recognise cats in a series of YouTube videos. The network included 1.7 billion parameters, the virtual representation of connections between neurons.
Entelechy Asia 