Governments in Asia Pacific are notably vested in the Internet of Things (IoT) technologies because it enables a broad new range of citizen services, according to IDC’s 2016 Global IoT Decision Maker Survey.
Based on the survey, 40 percent of Asia-Pacific government organisations are investing on IoT solutions in the next 12 months while 50 percent of them are investing in an IoT solution in next 12 to 24 months.
“Improving productivity, improving time to market for products/services and improving energy efficiency reducing costs are the top benefits of an IoT solution. IoT enables access to new and granular data sources, empowered by swift connectivity and quick data gathering capability giving access to a wider range of information that enhances the quality of government services at a scale, which previously has been thought to be unattainable,” said Shreyashi Pal, Market Analyst, IDC Asia/Pacific Government and Education Insights.
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First, it was Singapore Management University (SMU). Now two other Singapore universities — Singapore University of Technology and Design (SUTD) and Nanyang Technological University (NTU) — have also deployed the NVIDIA DGX-1 deep learning supercomputer for their research projects on artificial intelligence (AI).
SUTD will use the DGX-1 at the SUTD Brain Lab to further research into machine reasoning and distributed learning. Under a memorandum of understanding signed earlier this month, NVIDIA and SUTD will also set up the NVIDIA-SUTD AI Lab to leverage the power of GPU-accelerated neural networks for researching new theories and algorithms for AI. The agreement also provides for internship opportunities to selected students of the lab.
“Computational power is a game changer for AI research, especially in the areas of big data analytics, robotics, machine reasoning and distributed intelligence. The DGX-1 will enable us to perform significantly more experiments in the same period of time, quickening the discovery of new theories and the design of new applications,” said Professors Shaowei Lin and Georgios Piliouras, Engineering Systems and Design, SUTD.
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NVIDIA and Microsoft are working on a new hyperscale GPU accelerator that will provide hyperscale data centres with a fast, flexible path for artificial intelligence (AI).
The new HGX-1 hyperscale GPU accelerator is an open-source design released in conjunction with Microsoft’s Project Olympus.
HGX-1 does for cloud-based AI workloads what ATX — Advanced Technology eXtended — did for PC motherboards when it was introduced more than two decades ago. It establishes an industry standard that can be rapidly and efficiently embraced to help meet surging market demand.
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IoT faces new computing challenges, notably with deployment and scaling, according to ABI Research. Its future will rely in part on using embedded Real-Time Operating Systems (RTOS), which support many IoT application features, such as small size, constrained processing resources, low power consumption, limited maintenance, and real-time computing.
ABI Research forecasts 21 billion IoT devices will ship with embedded RTOS by 2022.
“The tremendous expansion of the IoT revived the embedded RTOS market, with open source platforms springing up rapidly to jostle long-established proprietary players. While industrial demand for RTOS has a decade-long history, the development of new IoT applications in other segments, such as consumer, digital home, connected car, and smart cities, jolted demand for embedded RTOS,” said Michela Menting, Research Director of ABI Research.
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The newly-announced NVIDIA Jetson TX2, a credit card-sized platform that delivers artificial intelligence (AI) computing at the edge, opens the door to powerfully intelligent factory robots, commercial drones and smart cameras for AI cities.
Jetson TX2 offers twice the performance of its predecessor, or it can run at more than twice the power efficiency, while drawing less than 7.5 watts of power. This allows Jetson TX2 to run larger, deeper neural networks on edge devices. The result is smarter devices with higher accuracy and faster response times for tasks like image classification, navigation and speech recognition.
The Jetson TX2 joins the Jetson TX1 and TK1 products for embedded computing. Jetson is an open platform that is accessible to anyone for developing advanced AI solutions at the edge — from enterprise companies and startups to researchers and high school students.
RIKEN, Japan’s largest comprehensive research institution, will have a new supercomputer for deep learning research in April. Built by Fujitsu using 24 NVIDIA DGX-1 AI systems, the new machine will accelerate the application of artificial intelligence (AI) to solve complex challenges in healthcare, manufacturing and public safety.
Conventional high performance computing architectures are proving too costly and inefficient for meeting the needs of AI researchers. That’s why research institutions such as RIKEN are looking for GPU-based solutions that reduce cost and power consumption while increasing performance. Each DGX-1 combines the power of eight NVIDIA Tesla P100 GPUs with an integrated software stack optimised for deep learning frameworks, delivering the performance of 250 conventional x86 servers.
“We believe that the NVIDIA DGX-1-based system will accelerate real-world implementation of the latest AI technologies technologies as well as research into next-generation AI algorithms. Fujitsu is leveraging its extensive experience in high-performance computing development and AI research to support R&D that utilises this system, contributing to the creation of a future in which AI is used to find solutions to a variety of social issues,” said Arimichi Kunisawa, Head of the Technical Computing Solution Unit at Fujitsu.
It’s amazing how a typo error can wreak havoc to a massive network. On Tuesday, thousands of websites using Amazon’s AWS cloud computing service were disrupted with broken links and partial functionality. And the cause is a typo in a command.
It took four hours and 17 minutes to track the cause and bring the 150,000 websites on Amazon’s Simple Storage Service (S3) back again. During the downtime, users could not access photos, logos, lists or data from the cloud.
According to USA Today, Amazon has apologised to its customers and “will do everything we can to learn from this event and use it to improve our availability even further.”
NVIDIA has just announced the GeForce GTX 1080Ti, which comes with 11GB of frame buffer to run today’s most demanding games. Jen-Hsun Huang, CEO of NVIDIA, dubbed it the “Ultimate GeForce” at a gathering of global media this morning.
Packed with extreme gaming horsepower, the GeForce GTX 1080 Ti delivers up to 35 percent more performance than the GTX 1080.
NVIDIA designed the GeForce GTX 1080 Ti to handle the graphical demands of 4K and 5K gaming, DX12, HDR and immersive VR.
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