Gara observes that, "The convergence of AI, data analytics and traditional simulation will result in systems with broader capabilities and configurability as well as cross pollination." Gara sees very aggressive hardware targets being set for this intertwined HPC and AI future, where the hardware will deliver usable performance exceeding one exaflops of double precision performance (and much more for lower and reduced precision arithmetic). He believes a user focus on computation per memory capacity will pay big dividends across architectures and provide systems software and user applications the opportunity to stay on the exponential performance growth curve through exascale and beyond as shown in the performance table below. The vision Gara presented is based on a unification of the "3 Pillars" of HPC: Artificial Intelligence (AI) and Machine Learning (ML); Data Analytics and Big Data; plus High Performance Computing (HPC). What this means is that users of the future will program using models that leverage each other and that interact through memory.

GraphGrail Ai, the world's first Artificial Intelligence platform for Blockchain built on top of Natural Language Understanding technology with the DApps marketplace, represented by CEO and chief developer Victor Nosko, has attended the Opentalks.ai OpenTalks.AI is an independent English-language conference in Russia that facilitates the integration of Russian science and business into the international community of artificial intelligence. The OpenTalks.AI conference played host to the presentations of the best developments and solutions in the field of AI from Russia and from abroad and discussions on the phenomenon of AI from all aspects -- science, business, ethics, philosophy and law. GraphGrail Ai has managed to establish preliminary partnerships with a high-ranking specialist from Aiforge working in gaming industry. The specialist shared his view on the fact that games are in need of more clever dialogs that are non-linear (like scripted dialogs in Mass Effect: Andromeda and similar games).

No, The Games are where robots can find honest work and leisure, too. Some 85 robots (spread across 11 different models, humanoid and otherwise) have been serving drinks, cleaning floors, swimming around fish tanks, guiding lost visitors at the airport and even skiing according to regional publication Korea JoongAng Daily. "We applied three yardsticks in choosing the robots to use at The Games -- how stable, new and useful they are going to be," Park Hyun-Sub, of the Korea Advanced Institute of Science and Technology said. The robot skiing competition was held yesterday at an event adjacent to the Olympic village. According to The Guardian, each bot had to meet a strict set of criteria to compete.

An attendee at SoftBank Robot World tries out the company's Pepper humanoid robot in Tokyo on Nov. 21, 2017. If you want to command a multiyear, seven-figure salary, you used to have only four career options: chief executive officer, banker, celebrity entertainer, or pro athlete.

Oracle is boosting its cloud platform with 12 new global regions and autonomous capabilities as it tries to regain ground following a disappointing quarter for Oracle cloud services and continues to lag behind Microsoft and Amazon Web Services. At its CloudWorld event in New York on Monday, Oracle president Mark Hurd said that enterprises are not going to want to bring the same level of complication as their on-premise infrastructure to the cloud, and that automation is going to help them simplify their IT investments by cutting down on labor costs and driving efficiency, following a broader trend among cloud services vendors who are using machine learning to capture more customers. Oracle executives were brought on stage throughout the keynote to demonstrate new capabilities in Oracle cloud services centered around automation, including expansion of its Oracle Cloud Platform Autonomous Services beyond the Oracle Autonomous Database, which Oracle's Larry Ellison spoke about in September. He said the self-healing database, which automates patching cycles, could prevent companies from being the next Equifax. Oracle will expand on this offering with multiple autonomous services in 2018, including Oracle Autonomous Data Warehouse Cloud Service for analytics, Oracle Autonomous Database OLTP for transactional and mixed workloads, and Oracle Autonomous NoSQL Database.

Shenzhen, photographed in November 2010. The city is now home to more than 11 million people. A few months ago, I stumbled across a line in a business title that stopped me in my tracks: at that point, 15 Chinese startups had reached unicorn status that year alone; effectively, 30 per cent of the world's billion-dollar companies were created in China in 2017. The relentless nature of a news cycle dominated by the commotion of Trump and Brexit has served to mask the potent undertow of what is likely to prove the most significant shift of this century – namely, the transfer of global power from the west to China. As political turmoil transpires elsewhere, China is re-shaping the world around trade, economics and technology, placing itself firmly at the centre.

Artificial intelligence could evolve to be'billions of times smarter' than humans. That's according to Ipswich-based'futurist' Ian Pearson who claims that people will need to merge with machines in order to survive. 'The fact is that AI can go further than humans, it could be billions of times smarter than humans at this point,' Pearson said. 'So we really do need to make sure that we have some means of keeping up.' Artificial intelligence could evolve to be'billions of times smarter' than humans. That's according to Ipswich-based'futurist' Ian Pearson who claims that people will need to merge with machines in order to survive Pearson, who works at Futurizon, made the comments during a panel hosted by CNBC at the World Government Summit in Dubai.

Artificial intelligence and machine learning promise to radically transform many industries, but they also pose significant risks -- many of which are yet to be discovered, given that the technology is only now beginning to be rolled out in force. There have already been a number of public, and embarrassing, examples of AI gone bad. Microsoft's Tay went from innocent chatbot to a crazed racist in just a day, corrupted by Twitter trolls. Two years ago, Google had to censor image searches for keywords like "gorilla" and "chimp" because it returned photos of African-Americans -- and the problem still hasn't been fully fixed in its Google Photos app. As businesses increasingly embrace AI, the stakes will only get higher.

You've probably heard of Transitions lenses that can adapt to changing light conditions. Now, get ready for facial recognition lenses. Police officers in Zhengzhou, China have been spotted wearing sunglasses equipped with facial recognition software that allows them to identify individuals in a crowd. These surveillance sunglasses were actually rolled out last year, but a recent report from China's QQ published a series of photos of the glasses in action. China has consistently been ahead of the curve in terms of utilizing artificial intelligence (AI) for surveillance. The country's CCTV system tracked down a BBC reporter in just seven minutes during a demonstration in 2017.

Meaningful artificial intelligence (AI) deployments are just beginning to take place, according to Gartner, Inc. Gartner's 2018 CIO Agenda Survey shows that four percent of CIOs have implemented AI, while a further 46 percent have developed plans to do so. "Despite huge levels of interest in AI technologies, current implementations remain at quite low levels," said Whit Andrews, research vice president and distinguished analyst at Gartner. "However, there is potential for strong growth as CIOs begin piloting AI programs through a combination of buy, build and outsource efforts." As with most emerging or unfamiliar technologies, early adopters are facing many obstacles to the progress of AI in their organizations. Gartner analysts have identified the following four lessons that have emerged from these early AI projects.