If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
This is a graphics card created for the PC. VentureBeat's Blair Frank said "The new Titan V card will provide customers with a Nvidia Volta chip that they can plug into a desktop computer." Thursday marked its debut, positioned as "the world's most powerful GPU for the PC." CEO Jensen Huang did the introduction. The announcement took place at the annual AI gathering, the NIPS (Neural Information Processing Systems) conference. It can carry massive amounts of power and speed AI computation.
Nvidia launched a new desktop GPU today that's designed to bring massive amounts of power to people who are working on machine learning applications. The new Titan V card will provide customers with a Nvidia Volta chip that they can plug into a desktop computer. According to a press release, the Titan V promises increased performance over its predecessor, the Pascal-based Titan X, while maintaining the same power requirements. The Titan V sports 110 teraflops of raw computing capability, which is 9X that of its predecessor. It's a chip that's meant for machine learning researchers, developers, and data scientists who want to be able to build and test machine learning systems on desktop computers.
WIRE)--H2O.ai, the leading company bringing AI to enterprises, today announced it has completed a $40 million Series C round of funding led by Wells Fargo and NVIDIA with participation from New York Life, Crane Venture Partners, Nexus Venture Partners and Transamerica Ventures, the corporate venture capital fund of Transamerica and Aegon Group. The Series C round brings H2O.ai's total amount of funding raised to $75 million. The new investment will be used to further democratize advanced machine learning and for global expansion and innovation of Driverless AI, an automated machine learning and pipelining platform that uses "AI to do AI." H2O.ai continued its juggernaut growth in 2017 as evidenced by new platforms and partnerships. The company launched Driverless AI, a product that automates AI for non-technical users and introduces visualization and interpretability features that explain the data modeling results in plain English, thus fostering further adoption and trust in artificial intelligence.
Amazon is hiring the most artificial intelligence talent, according to Glassdoor. Artificial intelligence (AI) is the hottest field in technology. Companies use AI to automate tasks typically done by people, and major tech firms see it as the foundation for their next generation of products. But there's a staggering talent shortage -- fewer than 10,000 people in the world have the skill set to conduct important AI research, according to technology and consulting firm Element AI. The shortage has driven salaries sky-high: AI specialists reportedly fetch compensation of $300,000 to $500,000.
Intel is ready to ship its long awaited computer chip used to power artificial intelligence projects by the end of the year. Intel CEO Brian Krzanich explained the chip-maker's foray into the red-hot field of artificial intelligence Tuesday and said that Facebook (fb) has assisted the company in prelude to its new chip's debut. "We are thrilled to have Facebook in close collaboration sharing its technical insights as we bring this new generation of AI hardware to market," Krzanich wrote. An Intel spokesperson wrote to Fortune in an email that while the two companies are collaborating, they do not have a formal partnership. The genesis of the Intel Nervana Neural Network Processor comes from Intel's acquisition of the chip startup Nervana Systems in 2016.
"For training purposes, this conversation will be recorded." This time, it will be training AI. Recordsure, a U.K.-based startup, is helping companies to understand and optimize their customer conversations through GPU-accelerated artificial intelligence. Using a combination of speech analytics and natural language processing, running on NVIDIA GPUs, the company aims to transform how calls are used in financial services, government services, healthcare and other industries. Recordsure's solution records customer interactions and then uses AI to extract, understand and analyze critical data.
Advancements in artificial intelligence, or AI, are revolutionizing healthcare and leading to breakthrough results in prediction and prevention. AI has impacted a variety of industries already, but nowhere are developments in artificial intelligence more important than in the healthcare industry--they can be life-saving. A new report from HPE focuses on how tech tools like GPUs and deep learning platforms are changing and advancing the healthcare industry. Recent advancements in AI technology have made it hard to ignore its potential to make health care professionals lives easier, as well as advance medicine. Just imagine the amount of data that health professionals have to review manually before they diagnose or treat a patient.
The first instances to include NVIDIA Tesla V100 GPUs, P3 instances are the most powerful GPU instances available in the cloud. P3 instances allow customers to build and deploy advanced applications with up to 14 times better performance than previous-generation Amazon EC2 GPU compute instances, and reduce training of machine learning applications from days to hours. With up to eight NVIDIA Tesla V100 GPUs, P3 instances provide up to one petaflop of mixed-precision, 125 teraflops of single-precision, and 62 teraflops of double-precision floating point performance, as well as a 300 GB/s second-generation NVIDIA NVLink interconnect that enables high-speed, low-latency GPU-to-GPU communication. P3 instances also feature up to 64 vCPUs based on custom Intel Xeon E5 (Broadwell) processors, 488 GB of DRAM, and 25 Gbps of dedicated aggregate network bandwidth using the Elastic Network Adapter (ENA). "When we launched our P2 instances last year, we couldn't believe how quickly people adopted them," said Matt Garman, Vice President of Amazon EC2.
Distributed, in-memory database enables correlation of customer profile, buying behaviour, sentiment and shopping trends based on cross-industry data sources in sub-seconds JAKARTA, Oct 24, 2017 - (ACN Newswire) - OVO, a member of Lippo Group Digital, has chosen Kinetica, provider of the world's fastest GPU-accelerated analytics database, and NVIDIA to spur innovation in big data and analytics that fully utilize a 360-degree customer view and derive real-time analytics and insights on shopping trends and the digital lifestyle. Lippo Group is a prominent conglomerate with significant investments in digital technologies, education, financial services, healthcare, hospitality, media, IT, telecommunications, real estate, entertainment and retail. Aggressively investing in big data and analytics technology, OVO is Lippo Group Digital's concierge platform, integrating mobile payment, loyalty points, and exclusive priority deals. With the support from Kinetica and NVIDIA, Lippo Group Digital will be the first enterprise to integrate an AI, in-memory, GPU database in Indonesia. Lippo Group Digital's investment in big data and analytics technology aims to consolidate all their customer data that are being generated by all transactional systems from various subsidiaries into a centralized analytics platform.
NVIDIA (NASDAQ:NVDA) is using its GPUs (graphics processing units) to make a big splash in the field of artificial intelligence (AI). The graphics specialist is leveraging the immense computational capacities of its GPUs, which can perform a huge number of mathematical calculations in a parallel manner, for enabling AI across several applications. NVIDIA has started witnessing terrific growth in some of its businesses that rely on AI. For instance, NVIDIA's automotive business increased almost 20% year over year in the last reported quarter; the company's DRIVE PX2 autonomous vehicle platform uses AI to help cars drive themselves. But this is just one of the many areas where NVIDIA is applying AI to boost its business.