Tag: Artificial intelligence

Gunning for supercomputing supremacy in Japan

tsubame-3-0

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

mercedes-nvidiaMany 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.

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SMU uses NVIDIA DGX-1 supercomputer for food recognition project

salted-egg-yolkd-prawnsSingapore 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.

Gearing up for the next industrial revolution

BabyX is a computer generated simulation of an infant who learns and interacts in real time using AI.
BabyX is a computer generated simulation of an infant who learns and interacts in real time using AI.

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 unleashes palm-sized AI computer for autonomous vehicles

nvidia-drive-px2-for-autocruiseNVIDIA 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

NVIDIA CEO Jen-Hsun Huang makes the announcement at Baidu World Conference in Beijing.
NVIDIA CEO Jen-Hsun Huang makes the announcement at Baidu World Conference in Beijing.

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 .

NVIDIA unveils world’s first deep learning supercomputer

NVIDIA DGX-1

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.

NVIDIA adds AI and supercomputing prowess to driverless cars

DRIVE PX_illustrationThe 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.”

Singtel leverages Appier’s programmatic TV platform to help advertisers reach right audience

appierAs 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.

Stanford University researchers build world’s largest artificial neural network

NVIDIANVIDIA 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.