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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Appier appoints Sean Chu as CSO

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 enterprises solve their business challenges.

Chu brings over two decades of experience in enterprise technology and media. Before joining Appier, Chu served as Senior Director, Central Marketing Group, at Microsoft Japan. He has also held leadership positions in a variety of companies including Sony Pictures Entertainment, the Wall Street Journal, CNBC and Motorola. He has worked in the US and supported operations in Europe and Asia.

Appier believes AI can help enterprises deal with today’s rapidly changing business environment, helping them process enormous amounts of data to identify patterns and make intelligent decisions. Appier’s first product, the CrossX Programmatic Platform, brought AI into digital marketing. Its second, Aixon, is a data intelligence platform that allows business users at a variety of enterprises to discover new customers, enrich their understanding of their customer base, and make predictions using AI.

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.

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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.

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China to dominate APAC robotics spending

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 IDC. China is expected to dominate with 45.7 percent market share over the next five years.

From a technology perspective, APAC spending on robotic systems is expected to grow to US$92 billion in 2021.This includes industrial, service and consumer robots and after-market robotic hardware. Meanwhile, services-related spending, which encompasses application management, education and training, hardware deployment, system integration, and consulting, will grow to more than US$44 billion in 2021.

“The convergence of robotics and artificial intelligence technologies are accelerating the development of the next generation of intelligent robots for industrial, commercial, and consumer applications. Intelligent robots with innovative capabilities such as cognitive interaction, self-diagnosis, and learning are emerging and driving wider adoption of robotics in many industries including manufacturing, resources, healthcare, retail, and so on,” said Dr Jing Bing Zhang, Research Director of Robotics at IDC Manufacturing Insights.

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.

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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.

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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.

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AI takes centrestage at ICML in Sydney

NVIDIA is bringing its wealth of artificial intelligence (AI) solutions and expertise to the International Conference on Machine Learning (ICML) in Sydney.

Held at Sydney International Convention Centre from August 6 to 11, the event is expected to attract up to 3,000 participants, primarily faculty, researchers and PhD students in machine learning, data science, data mining, AI, statistics, and related fields.

The NVIDIA booth (Level 2, The Gallery, Booth #4) will feature many firsts in Australia, such as demos on 4K style transfer, a deep neural network to extract a specific artistic style from a source painting, and then synthesises this information with the content of a separate video; self-driving auto using the Drive PX2 AI car computing platform; Deepstream SDK that simplifies development of high performance video analytics applications powered by deep learning; and NVIDIA Isaac, the AI-based software platform lets developers train virtual robots using detailed and highly realistic test scenarios.

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Beat traffic jam with new Audi A8

At the inaugural Audi Summit in Spain, Audi revealed that its flagship 2018 A8 features a multitude of high-tech wizardry powered by NVIDIA.

“The car of the future will make its occupants’ life easier with the help of artificial intelligence (AI),” declared Rupert Stadler, Chairman of the Board of Audi, as he introduced such A8 features as Audi AI Traffic Jam Pilot, Remote Park Pilot, Natural Voice Control and Swarm Intelligence.

The A8 is packed with NVIDIA powered systems, including revolutionary new user interfaces, a new infotainment system, a new virtual cockpit, and new rear seat entertainment options.

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NVIDIA and Baidu team up on AI

NVIDIA and Baidu have teamed up to bring artificial intelligence (AI) technology to cloud computing, self-driving vehicles and AI home assistants.

Baidu will deploy NVIDIA HGX architecture with Tesla Volta V100 and Tesla P4 GPU accelerators for AI training and inference in its data centres. Combined with Baidu’s PaddlePaddle deep learning framework and NVIDIA’s TensorRT deep learning inference software, researchers and companies can harness state-of-the-art technology to develop products and services with real-time understanding of images, speech, text and video.

To accelerate AI development, the companies will work together to optimise Baidu’s open-source PaddlePaddle deep learning framework on NVIDIA’s Volta GPU architecture.

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Volvo, Autoliv to roll out NVIDIA-based self-driving cars by 2021

Volvo Cars and Autoliv are teaming up with NVIDIA to develop advanced systems and software for AI self-driving cars. The three companies will work together along with Zenuity — a newly-formed automotive software development joint venture equally owned by Volvo Cars and Autoliv — to develop next-generation self-driving car technologies.

Production vehicles built on the NVIDIA DRIVE PX car computing platform are planned for sale by 2021.

“Artificial intelligence (AI) is the essential tool for solving the incredibly demanding challenge of autonomous driving. We are building on our earlier collaboration with Volvo to create production vehicles that will make driving safer, lead to greener cities and reduce congestion on our roads,” said  Jensen Huang, Founder and CEO of NVIDIA, at a keynote address at  Automobil Elektronik Kongress.

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Taiwan: Home of GeForce!

At the keynote of NVIDIA AI Forum, NVIDIA CEO and Founder Jensen Huang called “Taiwan is the home of NVIDIA’s GeForce system”.

Video gaming is a US$100 billion industry and “GeForce PC gaming is the number one platform, nearly 200 million GeForce installed base,” declared Huang.

He announced the new NVIDIA Max-Q platform which lets gaming notebook makers produce faster, slimmer and quieter machines.

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Softbank invests US$4b in NVIDIA

SoftBank Group has taken a US$4 billion stake in NVIDIA, according to Bloomberg.

This dovetails nicely with SoftBank founder Masayoshi Son’s aim to become the biggest investor in technology over the next decade.

NVIDIA’s stocks tripled last year and is surging again this year. The chipmaker is banking on driving the artificial intelligence (AI) trend with its powerful graphics processing units (GPUs).

Singapore to focus on 4 technology areas

Singapore will be focusing on four technology areas to build the foundation for its digital transformation. These are artificial intelligence (AI) and data science, cybersecurity, immersive media, and Internet of Things and future communications infrastructure.

At the opening of Infocomm Media Business Exchange at Marina Bay Sands Singapore Convention Centre, Minister for Communications and Information Dr Yaacob Ibrahim noted that “they are exciting fields with bright prospects in their own right, and they have great potential to transform other industries and enhance people’s lives”.

Artificial Intelligence and Data Science
The nation has established AI.SG, a national programme with funding of up to S$150 million to boost Singapore’s AI capabilities.

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Keeping drivers safe

With all that rage of artificial intelligence (AI) powering driverless cars, the same technology can also be used to keep drivers safe. It can acts like a guardian angel and look our for danger (watch video above).

NVIDIA’s AI Co-Pilot technology uses sensor data from the cameras and microphone inside and outside a car to track the environment around the driver. When the AI notices a problem — such as the driver  looking away from an approaching pedestrian — it could sound an alert.

Deeper into AI

The keynote address at Google I/O yesterday showed that Google is much more than just a search company. It is becoming more artificial intelligence (AI). Google is specifically using deep learning to help in many areas of everyday life.

 

Here are some as shared on Google’s blog post:

Google Assistant can help answer your questions and find information—but it can also help you get all kinds of useful things done. Today we’re adding a few more:

  • Schedule new calendar appointments and create reminders. Starting today on Google Home, you can schedule appointments and soon you’ll also be able to add reminders. Since it’s the same Google Assistant across devices, you’ll be able to get a reminder at home or on the go.
  • Make your home smarter. We now have 70+ smart home partners supporting the Google Assistant across Google Home and Android phones, including August locks, TP-Link, Honeywell, Logitech, and LG.

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From professional skills to utilities

Robots driven by artificial intelligence (AI) are replacing workers in various labour-intensive and service sectors but doctors, lawyers and even IT professionals are at risk of being made redundant. Or at least, certain aspects of each of these practices.

According to Gartner, smart machines and robots may replace highly trained professionals in tasks within medicine, law and IT by 2022 — that’s just five years more!

“The economics of AI and machine learning will lead to many tasks performed by professionals today becoming low-cost utilities. AI’s effects on different industries will force the enterprise to adjust its business strategy. Many competitive, high-margin industries will become more like utilities as AI turns complex work into a metered service that the enterprise pays for, like electricity,” said Stephen Prentice, Vice President and Gartner Fellow.

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Deep Instinct is Most Disruptive Startup

Hundreds of thousands of computers in 150 countries have been hit by the WannaCry ransomware. While users are scampering around trying to fix their computers, the top of mind question is whether this could have been avoided. And if artificial intelligence could have predicted and prevented such an attack.

At GPU Technology Conference (GTC) in San Jose, California last week, Israeli firm Deep Instinct won the Most Disruptive Startup category in NVIDIA’s Inception Award. The firm is the first to use AI to predict and prevent malware attacks.

According David Eli, Chief Technology Officer (CTO) of Deep Instinct, more than a million new malware threats are released daily, but most antivirus software focuses on known threats.

His firm’s graphics processing unit (GPU)-accelerated deep learning software detects malware in real time. Trained on hundreds of millions of files, the neural network learns to detect more threats and then uses its experience to predict new attacks.

“Winning this prize is the ultimate recognition from the deep learning industry because deep learning and NVIDIA are synonymous,” said Eli.

This is the inaugural year of NVIDIA’s Inception Awards, which recognises startups in three categories – Hottest Emerging, Most Disruptive and Social Innovation. Winners received significant cash prizes and graphics processing unit (GPU) hardware to further accelerate their activities.

Emerging out of stealth mode in November 2015, Deep Instinct’s patent-pending application of deep learning to cybersecurity results in cutting-edge capabilities of unmatched accurate detection and real-time prevention.

Leveraging the capabilities associated with deep learning, Deep Instinct provides instinctive protection on any device, platform, and operating system. Zero-day and APT attacks are immediately detected and blocked before any harm can happen to the enterprise’s endpoints, servers, and mobile devices.

“Deep Instinct relies on end-to-end deep learning for all its advanced malware detection and prevention capabilities. The deep neural network is trained on hundreds of millions of malicious and legitimate files. To handle such large-scale training, Deep Instinct developed its proprietary deep learning infrastructure directly on NVIDIA’s GPU machines,” said Eli.

“The powerful capabilities of NVIDIA GPUs enable us to perform our training at a substantially faster speed compared to CPUs: while training the Deep Instinct brain on NVIDIA’s GPUs takes a little over a single day of training, the same task on CPUs would take more than three months,” he added.

“We are thrilled to be recognised by NVIDIA for what we believe is a groundbreaking application of GPUs. Being able to leverage powerful technological capabilities to apply deep learning to cybersecurity empowers enterprises with unprecedented, real-time protection from the next unexpected attack,” said Guy Caspi, Chief Executive Officer of Deep Instinct.