Lucidea, provider of ArchivEra, CuadraSTAR SKCA and Eloquent Archives, enjoyed a very successful experience at this year's Society of American Archivists (SAA) annual conference. Traffic to their booth was the highest ever, with attendees eager to see how easily their archival collections management solutions enable researchers and the public to connect with the historic materials archivists work hard to preserve. Lucidea's archives specialists demonstrated the powerful and versatile capabilities of ArchivEra, CuadraSTAR SKCA, and Eloquent Archives that make them a valued technology partner in the archives community. Importantly, SAA attendees were the first to see Lucidea's exciting new AI prototype for archives. With Artificial Intelligence (AI) integration now available in ArchivEra, Lucidea's clients will enjoy powerful automatic categorization functionality.

SILICON SLOPES, Utah, Aug. 28, 2019 (GLOBE NEWSWIRE) -- Pluralsight, Inc. (NASDAQ:PS), the enterprise technology skills platform, today announced updates and enhancements for its industry-leading skill development solutions at Pluralsight LIVE. These updates include the introduction of Pluralsight Skills - the new name for its core skill development product; the initial integration of its GitPrime acquisition into its Skills product; expansion of its industry-leading cloud skills offering; and expansion of skills development courses in other core technology segments such as artificial intelligence and machine learning, data, and security. "Enterprises worldwide are turning to Pluralsight as their partner to help their teams develop and maintain the technology skills they need to accelerate revenue growth, acquire customers, expand into new markets, and reduce development cycles," said Aaron Skonnard, co-founder and CEO of Pluralsight. "We are keeping pace with the acceleration of advancements in new technologies for developers and IT practitioners by rapidly expanding the availability of fresh content in core technology areas that matter to our customers, giving tech leaders the fastest path to transform tech skills at scale." At the conference, Pluralsight announced the introduction of Flow, the new name for GitPrime's suite of solutions.

BASF and Technische Universität Berlin (TU Berlin) have signed an agreement to cooperate closely in the area of machine learning. The aim of the Berlin-based Joint Lab for Machine Learning (BASLEARN) is to develop workable new mathematical models and algorithms for fundamental questions relating to chemistry, for example from process or quantum chemistry. Both partners are jointly committed to this aim in the coming years. As an essential part of the cooperation, BASF will support the research work of Dr. Klaus Robert Müller, professor of machine learning and spokesperson for the Berlin Center for Machine Learning at TU Berlin, with a total of over €2.5 million over the coming five years. Machine learning is a key pillar of artificial intelligence. The objective is to analyze large volumes of data to recognize patterns and relationships which can be used to develop prediction models that optimize themselves based on their results.

Tencent today announces the launch of an AI-supported auxiliary diagnostic system for conducting digital colposcopy at the Global Digital Ecosystem Summit being held in Kunming, China. This latest technology can rapidly identify the cervical transformation zone and the location of a lesion, enabling doctors to more accurately and efficiently diagnose cervical cancer – the most common cause of malignant tumors in the female reproductive organs. "There is a pressing need for smart technology in the healthcare information system," said Tencent's vice president Ding Ke. "Tencent is exploring ways to provide the medical industry with targeted solutions and is spearheading the use of new technologies in the sector." He said, "The launch of this technology is another breakthrough in AI-assisted diagnosis for major diseases and follows close collaboration with medical experts and other partners. In line with our Tech for Good vision, it also realizes substantial social value."

Nvidia announced its new enterprise software product, vComputeServer, which has been developed and optimised for use with VMware's vSphere. Last week, VMware announced its intention to acquire Carbon Black and Pivotal, in a massive deal that will expand the company's SaaS offerings, while enhancing its ability to enable digital transformation for customers. Before the dust had even settled on that news, the company announced today (26 August), that it is set to launch a hybrid cloud on AWS (Amazon Web Services) in partnership with Nvidia, which will improve GPU (graphics processing unit) virtualisation. The two companies say that this is the first hybrid cloud service that lets enterprises accelerate AI, machine learning or deep learning workloads with GPUs. At the VMWorld conference in San Francisco, Nvidia's VP of product management, John Fanelli, told reporters: "In a modern data centre, organisations are going to be using GPUs to power AI, deep learning and analytics. "Due to the scale of those types of workloads, they're going to be doing some processing on premise in data centres, some processing in clouds and continually iterating between them." The company said that this will make the completion of deep learning training up to 50 times faster than with a CPU alone. This product is aimed at people who may be using Nvidia's Rapids software, Fanelli explained, which is a suite of data processing and machine learning libraries used for GPU-acceleration in data science workflows. Nvidia founder and CEO Jensen Huang said: "From operational intelligence to artificial intelligence, businesses rely on GPU-accelerated computing to make fast, accurate predictions that directly impact their bottom line.

The exciting world of Artificial Intelligence (AI) will be the subject of the Gaming Standards Association's (GSA) latest Technology Summit (GSATS), "Focus on Artificial Intelligence." This crucial technology event for the gaming industry takes place November 6 and 7 at the Hyatt Regency in San Diego, Calif. The in-depth summit is a follow up to last year's overwhelmingly successful summit, "Focus on Blockchain." AI is defined as "the ability for computer-based programs to parse large volumes of data, identify patterns, learn those patterns, discern probable outcomes and make recommended actions based on that learning." As defined, AI has great applicability in the global gaming industry with use cases ranging from responsible gaming, such as, the early identification of potential problem gamers based on analysis of actions and the evaluation of pertinent big data, to tracking patrons feelings and analyzing their needs and interests allowing for the creation of better gaming experiences, anti-money laundering, identifying most valuable players, identifying efficiencies for revenue maximization, and a host of others.

Nvidia and VMware today announced the launch of an accelerated GPU service on VMware Cloud on AWS, forming an advanced hybrid cloud infrastructure for machine learning workloads. The new service will allow organisations to migrate VMware vSphere-based applications and containers to VMware Cloud on AWS, VMware's cloud service that runs on bare metal infrastructure in AWS data centres, where they can take advantage of high-performance computing, machine learning, data analytics and video processing applications, backed up by Nvidia accelerators. Specifically, VMware Cloud on AWS customers will be able to rent Amazon EC2 bare metal instances, an AWS service that provides resizable compute capacity, that are accelerated by Nvidia T4 100 GPUs. The lynchpin of the hybrid platform is Nvidia's vComputeServer, virtual vGPU technology that enables GPU-accelerated deployment of workloads in virtual environments. The technology is not technically new but Nvidia has expanded support to VMware virtual environments including vSphere, vCenter and VMware cloud.

August 26, 2019 -- Conversica, Inc., the leader in Intelligent Virtual Assistants for business, announced today that is has been named to the Constellation ShortList for Sales Productivity Solutions in Q3 2019. This is the second consecutive time Conversica has appeared on the Constellation ShortList in this category. This award recognizes software and applications that allow sales professionals to maximize their performance and productivity. Constellation Research, a respected technology research and advisory firm based in Silicon Valley, determines its list by inquiries and interviews with the nominees' clients and partners; while also factoring in market share and internal research. "We are honored to be named to Constellation's ShortList for Sales Productivity Solutions for the second time in a row," said Alex Terry, CEO of Conversica.

If you've ever found yourself wishing you could do all the things you've been able to do with a hypervisor and regular virtual machines but on a GPU cluster – in your own data center or in the cloud – Nvidia and VMware are now saying your wish is about to come true. Monday morning, in conjunction with the start of VMworld in San Francisco, the two companies announced that VMware Cloud on AWS, the VMware-operated cloud service running on bare-metal infrastructure in AWS data centers, will soon feature virtualized GPUs you'll be able to provision and manage using the same vSphere tools you use with regular VM infrastructure. You'll be able to share a single physical GPU among multiple VMs, but you'll also be able to aggregate the power of many GPUs to train a machine-learning model at massive scale, the companies said. Related: VMworld: Look at Acquisitions for Virtualization's Cloud Play The play here is to get VMware into the infrastructure mix for the emerging set of enterprise computing workloads that benefit from GPU acceleration, such as AI and machine learning, as well as more traditional Big Data analytics. Also on Monday, the company announced a broad strategy for tackling the hybrid cloud opportunity, which is essentially to provide a single set of tools for managing all enterprise infrastructure, on premises and/or in any public cloud, in a uniform way.

In the midst of the AI "gold rush," how can you separate the nuggets from the fool's gold? There's no shortage of cautionary tales involving overhyped AI claims. And applying AI technologies to health care, education, and law enforcement mean that getting it wrong can have real consequences for society--not just for investors who bet on the wrong unicorn. So IEEE Spectrum asked experts to share their tips for how to identify AI hype in press releases, news articles, research papers, and IPO filings. "It can be tricky, because I think the people who are out there selling the AI hype--selling this AI snake oil--are getting more sophisticated over time," says Tim Hwang, director of the Harvard-MIT Ethics and Governance of AI Initiative.