Tag: Artificial intelligence

H2O.ai optimises Driverless AI and H2OGPU for NVIDIA

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.

Xjera Labs zooms in to AI to enhance security

Chu: "NVIDIA GPUs compared to CPUs are much more cost effective."
Chu: “NVIDIA GPUs compared to CPUs are much more cost effective.”

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.

NVIDIA Tesla V100 gains widespread acceptance

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.

NVIDIA expands DLI offerings

Booz Allen Hamilton

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 AI agenda gets double boost!

NVIDIA Fellow Dr David Kirk
NVIDIA Fellow Dr David Kirk delivers the keynote address at the NVIDIA AI Conference.

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).

Tantalising line-up of speakers at NVIDIA AI Conference

More than 1,000 participants attending the NVIDIA AI Conference in Singapore next week are in for a treat as the organisers are bringing in a tantalising line-up of speakers.

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.

Robotaxis on the way

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.

Changing role of CIO

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.

China’s tech giants bet on NVIDIA Volta

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 and Indonesia university set up first AI R&D centre in Jakarta

Launch completed (from left): Raymond Teh of NVIDIA, Sanny Hadinata of Tech Data, Bernard Gunawan of BINUS Nusantara, Hengkie Kastono of HPE, Bens Pardamean of BINUS, and Bahtiar Saleh Abbas of BINUS.

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.

AI to fuel next wave of cloud growth

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.

Motorola and Neurala to work on intelligent cameras

Motorola Solutions and Neurala will develop intelligent cameras that will enable police officers to more efficiently search for objects or persons of interest, such as missing children and suspects.

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.

NVIDIA Tesla V100 surprise for world’s top AI researchers

Fifteen top AI research institutions of the NVIDIA AI Labs programmes were each presented with the Volta-based NVIDIA Tesla V100 GPU accelerator.

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.