H2O.ai has announced that its Driverless AI automated machine learning platform and H2O4GPU open source GPU-accelerated machine learning package are now both fully optimised for the latest-generation NVIDIA Volta architecture GPUs — the NVIDIA Tesla V100 — and CUDA 9 software.
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.
Adobe and NVIDIA have formed a strategic partnership to rapidly enhance their industry-leading artificial intelligence (AI) and deep learning technologies.
Security is a growing concern among governments and organisations of all sizes. They must balance the need to provide access to the right people while keeping suspicious folks at bay. Any lapse can result in dire consequences that impact confidence in the country or company.
Marina Bay Sands Expo and Convention Centre was a hive of activities of a different sort as more than 700 technologists from 21 countries converged for EmTech Asia on January 30 and 31.
It’s been said that more data was generated in 2017 than in the previous 5,000 years. According to Statista, this figure will increase 10 times in less than a decade.
Throughout the ages, men have always been searching for the mythical Fountain of Youth and ways to extend life. Needless to say, many have tried and failed.
Most Southeast Asian capitals and major cities are notorious for its traffic congestion. In separate developments, Alibaba and Google have taken steps to be more involved in the transportation industries in Malaysia and Indonesia respectively.
For the past few years, data scientists are highly sought after to analyse data that can help organisations better understand their business, customers and trends. But, it looks like artificial intelligence-based solutions may be taking over that role in the near future.
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.
Global IT spending is expected to grow to US$3.7 trillion in 2018, an increase of 4.5 percent from 2017, according to Gartner.
One of the biggest fears amid the excitement about artificial intelligence (AI) is the loss of jobs. Many are afraid of being made redundant as AI becomes more pervasive.
Honda has signed a long-term agreement to develop autonomous cars with SenseTime, a China artificial intelligence (AI) company. The partnership will leverage Honda’s vehicle control system with SenseTime’s AI algorithms to jointly create an autonomous driving […]
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.
China artificial intelligence (AI) startup SenseTime has signed a strategic investment agreement with Qualcomm.
NVIDIA’s Volta architecture is leaving quite an impression. According to a NVIDIA press release issued at SC17, the Volta-based NVIDIA Tesla V100 GPU is available through every major computer maker and chosen by every major cloud to deliver artificial intelligence (AI) and high performance computing.
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.
Singapore’s aim to be an artificial intelligence (AI) hub has been boosted with two initiatives — the setting up of a shared AI platform for researchers and the awarding of scholarships to develop AI talents.
At the NVIDIA AI Conference in Singapore yesterday, NVIDIA and Singapore’s National Supercomputing Centre (NSCC) agreed to establish a platform to bolster AI capabilities among its academic, research and industry stakeholders and in support of AI Singapore (AISG), a national programme set up in May to drive AI adoption, research and innovation in Singapore.
Called AI.Platform@NSCC, it will provide AI training, technical expertise and computing services to AISG, which brings together all Singapore-based research and tertiary institutions, including the National University of Singapore (NUS), Nanyang Technological University (NTU), Singapore University of Design and Technology (SUTD), Singapore Management University (SMU), as well as research institutions in the Agency for Science, Technology and Research (A*STAR).
The two keynote speakers are Dr David B Kirk, NVIDIA Fellow and inventor of more than 60 patents and patent applications relating to graphics design; and Dr Wanli Min, AI scientist of Alibaba Cloud, who will touch on A Revolutionary Road to Data Intelligence.
Besides these two, there are special guest-of-honour Chng Kai Fong, Managing Director of Singapore’s Economic Development Board, and a panel discussion on AI for the Future of Singapore Economy.
No steering wheels, pedals or mirrors. Sounds like science fiction but the fully autonomous robotaxi is on its way with the launch of a new system that NVIDIA has codenamed Pegasus.
Pegasus extends the NVIDIA Drive PX AI computing platform to handle Level 5 driverless vehicles. NVIDIA DRIVE PX Pegasus delivers over 320 trillion operations per second — more than 10 times the performance of its predecessor, NVIDIA DRIVE PX 2, announced Jensen Huang, Founder and CEO of NVIDIA at his keynote address at GTC Europe in Munich.
Robotaxis powered by NVIDIA DRIVE PX Pegasus will have interiors that feel like a living room and arrive on demand to safely whisk passengers to their destinations, bringing mobility to everyone, including the elderly and disabled.
The role of the CIO is changing, according to a Gartner survey of 3,160 CIO respondents in 98 countries.
The findings revealed that the CIO role is transitioning from delivery executive to business executive, from controlling cost and engineering processes, to driving revenue and exploiting data.
Ninety-five percent of CIOs expect their jobs to change or be remixed due to digitalisation. While world-class IT delivery management is a given, it will take up less and less of the CIO’s time.
Appier has appointed Sean Chu as Chief Strategy Officer (CSO) to lead its operations in Japan and Korea. Chu will help drive the company’s growth as it moves to create new AI platforms to help […]
China’s top technology companies are betting big on the NVIDIA Volta platform.
Alibaba Cloud, Baidu, and Tencent are incorporating NVIDIA Tesla V100 GPU accelerators into their data centres and cloud-service infrastructures to accelerate AI for a broad range of enterprise and consumer applications.
At the heart of the new Volta-based systems is the NVIDIA V100 data centre GPU. Built with 21 billion transistors, it provides a 5x improvement over the preceding NVIDIA Pascal architecture P100 GPU accelerators, while delivering the equivalent performance of 100 CPUs for deep learning. This performance surpasses by 4x the improvements that Moore’s law would have predicted over the same period of time.
Inspur, Lenovo and Huawei are using the NVIDIA HGX reference architecture to offer Volta-based accelerated systems for hyperscale data centres. Using HGX as a starter “recipe,” original equipment manufacturer and original design manufacturer partners can work with NVIDIA to more quickly design and bring to market a wide range of qualified GPU-accelerated AI systems for hyperscale data centres to meet the industry’s growing demand for AI cloud computing.
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.
Spurred by growing interest in artificial intelligence (AI), the Asia-Pacific (APAC) robotics market is expected to growth to US$162 billion in 2021, accounting for 70 percent of the world’s total robotics market in 2021, according to […]
The cloud infrastructure services market is continuing to grow strongly, up 47 percent year on year in Q2 to reach US$14 billion, according to Canalys. Growth was driven by demand for primary cloud infrastructure services, such as on-demand computing and storage, across all customer segments and industries.
However, future growth is expected to be fueled by customers using the artificial intelligence (AI) platforms cloud service providers are building to develop new applications, processes, services, and user experiences.
Amazon Web Services (AWS) maintained its leadership position, growing 42 percent on an annual basis and accounting for more than 30 percent of total spend. But its growth rate was lower than those of its main rivals, Microsoft (up 97 percent growth) and Google (up 92 percent), but higher than fourth-placed IBM (up 23 percent). Overall, the top four cloud services providers represented 55 percent of the cloud infrastructure services market, which includes IaaS and PaaS.
The companies will integrate Neurala’s artificial intelligence (AI) capabilities with Motorola Solutions’ software and cameras, including its Si500 body-worn camera. The integration will create intelligent cameras that can learn “at the edge” and automatically search for persons or objects of interest – significantly reducing the time and effort required to find a missing child or suspicious object in environments that are often crowded or chaotic.
“We see powerful potential for AI to improve safety and efficiency for our customers, which in turn helps create safer communities. But applying AI in a public safety setting presents unique challenges. Neurala’s ‘edge learning’ capabilities will help us explore solutions for a variety of public safety workflows such as finding a missing child or investigating an object of interest, such as a bicycle,” said Paul Steinberg, Chief Technology Officer of Motorola Solutions.
They were participating in Computer Vision and Pattern Recognition (CVPR) conference in Honolulu.
“AI is the most powerful technology force that we have ever known. I’ve seen everything. I’ve seen the coming and going of the client-server revolution. I’ve seen the coming and going of the PC revolution. Absolutely nothing compares,” said Jensen Huang, CEO of NVIDIA.