To the uninitiated, images just look look sharper and more detailed because of improved resolution. But, there’s much more to that, one of which is ray tracing, a rendering technique used to generate an image by tracing the path of light as pixels in an image plane and simulating the effects of its encounters with virtual objects.
NVIDIA, Oculus, Valve, AMD, and Microsoft have come together to introduce VirtualLink, an open standard that simplifies next-generation virtual reality (VR) headset connectivity to PCs and other devices. Instead of a range of cords and connectors, the new standard adopts the single, high-bandwidth USB Type-C connector.
Singapore blogger Daryl Aiden Yow created a storm when he manipulated stock images and posted them on his Instagram account. The 27-year-old has since apologised but his action has cast more doubt on the blogging community.
With World Cup fever in full force right now, many budding players are hoping for the day when they could be under the global spotlight. Well, a little help from artificial technology (AI) may help take them a step closer.
On June 13, Intel had the GPU world in a flurry when it tweeted “Intel’s first GPU coming in 2020”. The media were quick to post stories of this incoming new GPU, which would add interesting competition to a market dominated by NVIDIA with AMD a distant second.
NVIDIA has announced the availability of NVIDIA Isaac, a new platform to power the next generation of autonomous machines, bringing artificial intelligence (AI) capabilities to robots for manufacturing, logistics, agriculture, construction, and many other industries.
Dubbed “the brains behind the bots”, NVIDIA researchers will be heading to the International Conference on Robotics and Automation (ICRA) at Brisbane Convention and Exhibition Centre in Australia from May 21 to 25.
Arm is taking its recently-announced Project Trillium a step further with a collaboration with NVIDIA. The partners will bring the open-source NVIDIA Deep Learning Accelerator (NVDLA) architecture into Project Trillium platform for machine learning.
China carmaker Chery has adopted the new ZP ProAI system, powered by NVIDIA Drive AI self-driving technology, for its autonomous vehicles. The move will bring Level 3 autonomous driving to the world’s biggest auto market.
Robotics is no longer just a hobby but serious stuff. NVIDIA’s Deep Learning Institute is now working with online learning provider Udacity to develop a programme that will immerse students in the field of robotics, giving them career-ready skills.
The need for deep learning skills is increasing as more and more companies and industries hop on the bandwagon. Launch a little more than a year ago, NVIDIA’s Deep Learning Institute (DLI) has already trained tens of thousands of students, developers and data scientists.
And the company is expanding its DLI offerings with:
New partnerships: Team up with Booz Allen Hamilton and deeplearning.ai to train thousands of students, developers and government specialists in artificial intelligence (AI).
New University Ambassador Program: Instructors worldwide can teach students critical job skills and practical applications of AI at no cost.
New courses: More courses are added to teach domain-specific applications of deep learning for finance, natural language processing, robotics, video analytics, and self-driving cars.
With artificial intelligence (AI) being a hot topic this year, NVIDIA is organising its first AI-focused regional conference in Singapore on October 23 and 24.
The event will be held in two parts with the first day focusing on Deep Learning Institute (DLI) workshop where participants will received hands-on training on deep learningl and the second day filled with keynote addresses, panel discussion and three tracks. It is targeted at data scientists and senior decision makers in the field of AI in both public and private sectors.
“Singapore is aiming to be the world’s first smart nation and AI is playing a critical role. NVIDIA is well positioned to help drive the government’s Smart Nation initiative with the development of solutions based on AI. Our GPUs are making headlines across the world by enabling many breakthroughs in various industries using deep learning,” said Raymond Teh, Vice President of APAC sales and marketing at NVIDIA.
NVIDIA has teamed up with BINUS University and Kinetica to establish the first artificial intelligence (AI) research and development (R&D) centre in Indonesia.
Located at the university’s Anggrek Campus, the centre will support BINUS University’s aim to be the premier R&D hub for Al in Indonesia. Leveraging the power of NVIDIA’s GPUs, it will be a showcase of the commercial potential of GPU-accelerated deep learning applications.
“Today, we stand at the beginning of the AI computing era, ignited by a new computing model, GPU deep learning. This new model — where deep neural networks are trained to recognise patterns from massive amounts of data — has proven to be ‘unreasonably’ effective at solving some of the most complex problems in computer science. In this era, software writes itself and machines learn. Soon, hundreds of billions of devices will be infused with intelligence. AI will revolutionise every industry. NVIDIA provides the products and solutions to power this revolution,” said Raymond Teh, Vice President of APAC Sales and Marketing of NVIDIA.
NVIDIA is among a group of investors led by Chinese social media company Sina investing more than US$20 million in Chinese startup TuSimple.
Formed in 2015, TuSimple has more than 100 employees in R&D centres in Beijing and San Diego developing technology for autonomous long-distance freight delivery. It uses NVIDIA GPUs, NVIDIA DRIVE PX 2, Jetson TX2, CUDA, TensorRT, and cuDNN to develop its autonomous driving solution.
In June, the company successfully completed a 200-mile Level 4 test drive from San Diego to Yuma, Arizona, using NVIDIA GPUs and cameras as the primary sensor.
“I’m amazed at the quality of the papers presented. The project teams’ line of thinking and breakthrough concepts are refreshing,” exclaimed a leading artificial intelligence (AI) scientist at the International Conference on Machine Learning (ICML) in Sydney.
International Convention Centre Sydney was a massive hive of activities as 3,000 of the world’s top researchers, developers and students in AI gathered for ICML. The participants moved rapidly from one workshop to another and took great interest in the exhibition booths of top deep learning proponents such as NVIDIA, Google and Facebook.
With so many bright young talents. the event proved to be a good fishing ground for vendors as they held recruitment interviews at their booths, as well as posted openings on the board.
At the inaugural Audi Summit in Spain, Audi revealed that its flagship 2018 A8 features a multitude of high-tech wizardry powered by NVIDIA.
“The car of the future will make its occupants’ life easier with the help of artificial intelligence (AI),” declared Rupert Stadler, Chairman of the Board of Audi, as he introduced such A8 features as Audi AI Traffic Jam Pilot, Remote Park Pilot, Natural Voice Control and Swarm Intelligence.
The A8 is packed with NVIDIA powered systems, including revolutionary new user interfaces, a new infotainment system, a new virtual cockpit, and new rear seat entertainment options.
NVIDIA is investing in Deep Instinct, an Israeli-based startup that uses deep learning to thwart cyber attacks.
Deep Instinct uses a GPU-based neural network and CUDA to achieve 99 percent detection rates, compared with about 80 percent detection from conventional cyber security software. Its software can automatically detect and defeat the most advanced cyber attacks.
“Deep Instinct is an emerging leader in applying GPU-powered AI through deep learning to address cybersecurity, a field ripe for disruption as enterprise customers migrate away from traditional solutions. We’re excited to work together with Deep Instinct to advance this important field,” said Jeff Herbst, Vice President of Business Development of NVIDIA.
NVIDIA and Baidu have teamed up to bring artificial intelligence (AI) technology to cloud computing, self-driving vehicles and AI home assistants.
Baidu will deploy NVIDIA HGX architecture with Tesla Volta V100 and Tesla P4 GPU accelerators for AI training and inference in its data centres. Combined with Baidu’s PaddlePaddle deep learning framework and NVIDIA’s TensorRT deep learning inference software, researchers and companies can harness state-of-the-art technology to develop products and services with real-time understanding of images, speech, text and video.
To accelerate AI development, the companies will work together to optimise Baidu’s open-source PaddlePaddle deep learning framework on NVIDIA’s Volta GPU architecture.