Speaking with a passion of an artificial intelligence (AI) in healthcare evangelist, Kimberly Powell declared that the age of AI in radiology is here. And she has earned the right to say that because she has been championing this since she joined NVIDIA 11 years ago. Continue reading “The age of AI in radiology is here”
When NVIDIA launched on last August the first GeForce RTX GPUs with ray tracing capabilities, fans were excited but taken aback by the the price tag. Costing from US$499, the three cards — the GeForce RTX 2080 Ti, 2080 and 2070 — were a little higher than most gamers were prepared to fork out. Continue reading “Finally, an affordable ray tracing GPU from NVIDIA!”
8K movie is the next big thing and an announcement by RED and NVIDIA is making editing such movies a reality. The partners have introduced the NVIDIA CUDA-accelerated REDCODE RAW decode SDK that gives software developers and studios a powerful new way to work with 8K video. Continue reading “Making 8K movie editing a reality”
The world’s top two supercomputers — – the US Department of Energy’s Summit, at Oak Ridge National Laboratory, and Sierra, at Lawrence Livermore National Lab. — pack a combined total of more than 40,000 NVIDIA V100 Tensor Core GPUs, according to the latest of the Top 500 list released in conjunction with SC18. Continue reading “NVIDIA GPUs power a quarter of Top 500 supercomputers”
The weather wreaked havoc across the world last week with a number of hurricanes and typhoons. The Weather Channel leveraged the same technology used for computer games to create simulations that brought the impact of such weather into homes.
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.
Taiwan is going big on artificial intelligence (AI) and its Ministry of Science and Technology (MOST) will be collaborating with NVIDIA on AI initiatives.
Power efficient chipsets are set to be the main driver as artificial intelligence (AI) moves makes a significant shift from the cloud to the edge, according to ABI Research.
NVIDIA researchers have demonstrated how robots can be trained to observe and repeat human actions — a “first of its kind” capability powered by deep learning.
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.
Tokyo-based startup incubator DEEPCORE is partnering NVIDIA to support AI startups and promote university research programmes across Japan.
Adobe and NVIDIA have formed a strategic partnership to rapidly enhance their industry-leading artificial intelligence (AI) and deep learning technologies.
The GPU Technology Conference (GTC) has hit new highs with a record of more than 8,000 participants, and filling the entire San Jose McEnery Convention Center.
Cryptocurrency mining has been given a boost with the revelation that Samsung is working on chip just for that purpose.
Think artificial intelligence (AI) and the advent of powerful thinking machines and images of Arnold Schwarzenegger of The Terminator come to mind.
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.
In a week where the world’s eyes were supposed to be focusing on the exciting new gadgets and technologies coming out at CES 2018, it was news from past technologies that had the world reeling.
Entelechy Asia turns five today. So much has changed since we launched in November 2012.
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.