The mainframe computer is not quite going the way of the dinosaur. Even in today’s age of Intel-based servers, there’s still room and relevance for the mainframe. This explains why IBM has launched the z15, its 15th generation of the mainframe. Continue reading “IBM keeps betting on mainframes with z15 launch”
Data scientist is one of the hottest jobs in the era of artificial intelligence (AI) where big data is king. IBM and The Open Group have come together to provide a certification programme for this highly-sought after job. Continue reading “Data scientists to get certification”
Big data and artificial intelligence (AI) are not usually associated with food and agriculture but five startups have shown that such technologies can play a major role in minimising food loss. Some 1.3 billion tonnes of food are lost worldwide each year. Continue reading “Ecozen impresses at inaugural Rabobank Food Loss Challenge”
Taiwan’s Chinese Medical University Hospital (CMUH) has become the first healthcare provider in Asia to deploy and operate the NVIDIA DGX-2 AI supercomputer. Continue reading “Taiwan hospital deploys NVIDIA DGX-2 for next-generation medical services”
Names such as Ampotech, Plunify, SHADO, and XNERGY may not ring a bell today but with a little help from Infineon, they may well become the successes of tomorrow.
Social media giant Facebook is partnering with Infocomm Media Development Authority (IMDA) of Singapore to give Southeast Asia startups a head start in developing data-driven technologies.
The first NVIDIA AI Conference in Sydney on September 4 will kick off with two keynote addresses. Marc Hamilton, Vice President of Solutions Architecture and Engineering, NVIDIA, will talk about Transforming Industries With AI. Jason Humphrey (right), Head of Retail Risk, ANZ Bank, will then share on Creating the Infrastructure to Undertake Deep Learning.
China e-commerce firm Suning Tesco has opened the first pilot route for unmanned aerial vehicle (UAV) logistics and transportation in Wuhan, China. Its logistics arm Suning Logistics and Ewatt Aerospace jointly developed two UAVs for this purpose.
NVIDIA has introduced the NVIDIA HGX-2, the first unified computing platform for both artificial intelligence (AI) and high performance computing (HPC).
Information and communications technology (ICT) spending in Asia/Pacific (excluding Japan) will hit US$1.5 trillion in 2021, according to IDC.
Canon Medical Systems will use NVIDIA DGX systems to process large volumes of medical data generated by Abierto VNA, its proprietary, in-house, medical data management system launched in January.
Where’s a taxi when you need one? That’s the bane of passengers from around the world, except possibly in Taipei where taxis somehow seem to be just where you need them.
One of the most eye-catching demo during NVIDIA CEO Jensen Huang’s keynote address at GTC 2018 is Project Clara.
NVIDIA CEO Jensen Huang (above) dubbed it the “world’s biggest GPU”. And he certainly wasn’t kidding as the NVIDIA DGX-2 is a massive 350-pounder that delivers an amazing two petaflops of computational power.
The GPU Technology Conference (GTC) has hit new highs with a record of more than 8,000 participants, and filling the entire San Jose McEnery Convention Center.
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.
Every day, around three billion images and videos are uploaded online, creating a massive need to make them discoverable and searchable.
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.
Think artificial intelligence (AI) and the advent of powerful thinking machines and images of Arnold Schwarzenegger of The Terminator come to mind.
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.
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.
With artificial intelligence (AI) being a hot topic this year, NVIDIA is organising its first AI-focused regional conference in Singapore on October 23 and 24.
The event will be held in two parts with the first day focusing on Deep Learning Institute (DLI) workshop where participants will received hands-on training on deep learningl and the second day filled with keynote addresses, panel discussion and three tracks. It is targeted at data scientists and senior decision makers in the field of AI in both public and private sectors.
“Singapore is aiming to be the world’s first smart nation and AI is playing a critical role. NVIDIA is well positioned to help drive the government’s Smart Nation initiative with the development of solutions based on AI. Our GPUs are making headlines across the world by enabling many breakthroughs in various industries using deep learning,” said Raymond Teh, Vice President of APAC sales and marketing at NVIDIA.
“I’m amazed at the quality of the papers presented. The project teams’ line of thinking and breakthrough concepts are refreshing,” exclaimed a leading artificial intelligence (AI) scientist at the International Conference on Machine Learning (ICML) in Sydney.
International Convention Centre Sydney was a massive hive of activities as 3,000 of the world’s top researchers, developers and students in AI gathered for ICML. The participants moved rapidly from one workshop to another and took great interest in the exhibition booths of top deep learning proponents such as NVIDIA, Google and Facebook.
With so many bright young talents. the event proved to be a good fishing ground for vendors as they held recruitment interviews at their booths, as well as posted openings on the board.
Artificial intelligence (AI) is not new. In fact, it has so many false starts over the past 60 years. The term went into hibernation for a long time.
Research into AI began way back in Dartmouth College in 1956 and was constantly associated with being the next frontier in the 1980s when mainframe computers ruled and supercomputers were a ginormous investment that very few could afford.
Despite the research put in over the years, the technology never quite took off and fell flat in many instances.
Global IT services and business services revenues are expected to cross the US$1 trillion mark for the first time in 2018, according to IDC.
Worldwide services spending totals for 2016 are expected to stay within the US$900 billion range and by 2020 expected to near US$1.1 trillion.
With more than US$100 million worth of spending each this year, the largest services markets will be key horizontal business process outsourcing (BPO) and systems integration services, which will also generate the largest revenue pools over the 2016-2020 forecast period. Business Consulting Services is forecast to outpace both markets in terms of growth.
IBM and MasterCard are partnering to offer smaller merchants real-time, analytics-based market insights on revenue, market share, customer demographics and competitors in a particular location and across multiple locations.
The solution integrates IBM Watson Analytics with insights based on aggregated and anonymised MasterCard transaction data through MasterCard Advisors Local Market Intelligence (LMI).
According to MasterCard’s latest research, more than seven out of 10 smaller businesses in Asia-Pacific expect higher business costs in 2016. With this enhanced analytical platform powered by MasterCard Advisors and IBM, merchants will hence be better equipped to make informed decisions that lower costs based on a deeper knowledge of their business’ financial strengths and pitfalls.