Amazon takes on big guns in machine learning

A new player has entered the machine learning arena. While big players such as Google, Intel and NVIDIA have been slugging it out, Amazon has thrown its hat into the ring with its newly-launched Inferentia chip.

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Huawei ups the ante on AI

Huawei has upped the ante with an ambitious US$140 million investment in developing one million artificial intelligence (AI) talents in three years. Under its AI Developer Enablement Programme, the China telecoms giant will work with universities and research institutions as well as partners and developers to build an ecosystem with AI resources, platforms, courses, and joint solutions to better support AI development.

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China wins battle for AI investments

A battle of sorts is taking place in the field of artificial intelligence (AI). It has been widely reported that China is ramping up its focus on the technology that is expected to transform businesses and industries. Numbers from ABI Research point to a swing in favour of China.

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Alibaba leverages AI for copywriting

Text generated by The AI Copywriter.
Text generated by The AI Copywriter.

Copywriters, beware! A new tool dubbed “The AI copywriter” by Alimama can generate an astounding 20,000 lines of copy in a second. Alimama is the digital marketing arm of China e-commerce giant Alibaba.

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Man vs machine in Dota 2

Machine learning and deep learning are two expressions of artificial intelligence (AI) that have been widely written about. But, another approach to AI called reinforcement learning is coming to the fore. One of the first applications of reinforcement learning is in training AI bots to beat humans in the highly popular game Defense of the Ancients 2 (Dota 2).

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Tech startup uses AI to correctly predict Kentucky Derby exacta

With its ability to crunch massive data and make predictions, it was only a matter of time before artificial intelligence (AI) was going to be applied to gambling, if it had not already done so.

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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.

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IoT goes deep

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.

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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.

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Emtech Asia: AI, quantum computing and more

Leonard wants to see more research become productised and commercialised.
Leonard wants to see more research become productised and commercialised.

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.

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Dathena transforms data from liability to asset

Muffat: "The GPU is a great technology."
Muffat: “The GPU is a great technology.”

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.

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Towards a longer life

Mariusz Kozlowski, Research Associate of Asia Genomics: "Track biological age and help prevent high-risk diseases."
Mariusz Kozlowski, Research Associate of Asia Genomics: “Track biological age and help prevent high-risk diseases.”

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.

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More analysis than data scientists

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.

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Chery to pop NVIDIA-powered ZP ProAI system into autonomous vehicles

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.

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Honda to accelerate smart car R&D with SenseTime

Honda and SenseTime to partner on smart car development.
Honda and SenseTime to partner on smart car development.

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 solution. The two companies will also work together on robot technology.

“Safety is the number one priority when it comes to driving, and it also constitutes the core of our autonomous driving solution. By combining SenseTime’s strengths in computer vision technologies with Honda’s superior vehicle control technologies, we will together enable a safe and pleasant autonomous driving experience.,” said Lao Shihong, CEO of SenseTime Japan.

Learn robotics at Udacity

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.

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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.

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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.

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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).

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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.

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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.

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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.

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