ABU DHABI -- The capital of the United Arab Emirates (UAE) has announced the launch of the world's first university dedicated to artificial intelligence, in a bid to stay ahead of the disruptive technologies and diversify its economy from the reliance on oil. Named after the Crown Prince of Abu Dhabi and de facto leader of the UAE who has long championed science and technology development in UAE, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) will offer academic post-graduate (MSc and PhD) courses in three key fields of AI – computer vision, machine learning and natural language processing – with access to some of the world's most advanced AI systems to unleash its full potentials. All graduate-level students admitted to the school will be eligible for a full scholarship along with several benefits such as a monthly allowance, accommodation arrangements and health insurance. The first class of graduate students is scheduled to start coursework at MBZUAI campus in Masdar City, a new urban area in Abu Dhabi, in September 2020. "MBZUAI aligns with the vision of the UAE leadership that is based on sustainable development, progress and the overall well-being of humanity and underpinned by capacity-building and active participation in finding practical solutions based on innovation and state-of-the-art technology," said Dr. Sultan Ahmed Al Jaber, UAE Minister of State, who also served as Chair of the university's Board of Trustees, at the press conference in Abu Dhabi.

SINGAPORE, October 18th, 2019 – Asia/Pacific* spending on artificial intelligence (AI) systems will reach USD 6.2 billion in 2019, recording an increase of almost 54% when compared to 2018, according to the latest IDC Worldwide Semiannual Artificial Intelligence Systems Spending Guide. Evidently, as industries invest aggressively in projects that utilize AI software capabilities, IDC expects spending on AI systems will increase to USD 21.4 billion by 2023 with a compound annual growth rate (CAGR) of 39.6% over the 2018-23 forecast period. From providing chat bots for better customer service to improve the efficiency of operations and tasks for their business models, industries like Banking, Retail and professional services are spending in this technology at scale says," Ritika Srivastava, Associate Market Analyst at IDC Asia/Pacific. In 2019, Asia/Pacific* spending on AI systems will be led by the Banking industry with 10.7% share of the total, followed by retail with a 10.2% share.

We are pleased to announce an exclusive agreement with Infinnium, a software company delivering innovative solutions to transform information governance and corporate decision-making using artificial intelligence for forensic accounting and related consulting services in the EU. The agreement creates a powerful combination between FRA's global expertise in forensic accounting and consulting expertise with Infinnium's 4iG platform, the innovative suite of technologies empowering modern data governance and privacy law compliance needs of the enterprise. Both FRA and Infinnium have extensive and global cross-border and cross-sector litigation and investigations experience and working together will offer a distinct competitive advantage in the marketplace. Exponential increase of data volume and types across the ever-growing multitude of siloed applications have combined to exceed organizations' ability to manage data conventionally. Organizations face challenges to identify and organize their data, comply with regulatory requirements, apply policy or process, or optimize its value.

Unplanned outages are on the rise globally from both equipment failures and damages. Smaller operators do not have the excess capital to conduct the same level of planned outages. As traditional methods of predicting equipment failure can be unreliable in a dynamic operating environment, they can be hesitant to sanction significant shutdown work unless it is absolutely necessary. Thus, they are forced to ride out operational uncertainty and have unfortunately seen unplanned outages increase. Unplanned outages have severe negative cost and production consequences for the operator.

Description: The Health Group of Leidos is currently seeking a Research Scientist / Data Analyst to provide analytical and database support for a variety of health and psychological research studies. This position will be in the Health and Behavioral Sciences Department at the Naval Health Research Center located in San Diego, CA. Duties and Responsibilities: The successful candidate will use SAS 9.4 and SAS Enterprise Guide to support comprehensive data management processes for diverse, research projects. They will work collaboratively with the Principal Investigator and research scientists identify ways to answer complex mental and physical health questions with population-level military medical and personnel electronic records. Due to contract restrictions, candidate must be a U.S. citizen and will be required obtain a Secret Clearance.

Tech giant Microsoft is teaming up with Nuance Communications to use technology to solve a big pain point for doctors--too much time spent on documenting and administrative tasks. The two companies are collaborating to use ambient technology combined with artificial intelligence, automation and cloud computing to create an exam room experience where the clinical documentation "writes itself," the companies said in a press release. Physician burnout continues to be a significant problem in healthcare. A recent study shows that primary care doctors now spend two hours on administrative tasks for every hour they're involved in direct patient care. Physicians reported one to two hours of after-hours work each night, mostly related to administrative tasks.

The "Leveraging Artificial Intelligence for Materials Design and Production" report has been added to ResearchAndMarkets.com's offering. Artificial intelligence (AI)- and machine learning (ML)-based technologies are being leveraged for materials research and are replacing experimental and simulation-based research approaches. The need to accelerate materials discovery and the desired accuracy in the properties of materials is driving researchers to seek more granular insights from their experimentations. The development of new materials is a growing field and challenges such as database availability and practical viability of theoretically designed materials are still to be addressed. Multiple research studies from research institutes and companies have developed techniques to use AI-based techniques for the discovery of new molecules that can address existing challenges in the development of new materials and for aiding their mass production.

Gluware Automation v3.6 extends the platform API capabilities including integrations with the Mist and Ansible platforms and introduces industry-first lifecycle management and infrastructure integration enhancements. The new version was developed in response to a growing list of global enterprise customers seeking to scale their network automation capabilities to work in their current environment and across more nodes to be faster within their complex networks. Unique in the industry, Gluware is the only solution that offers this level of Intent-Based network automation capabilities without coding or scripting and in support of a tapestry of automation solutions for multi-vendor, brownfield and greenfield networks. For the first time, companies can use the new Intelligent Model Discovery (IMD) Workflow in the Gluware platform to read in an existing device configuration. This puts the power of "infrastructure as code" into the hands of network engineers enabling powerful automation with no IT staff coding required.

Today's podcast features recent interviews with [two] experts in top AI management positions discussing recent developments within their companies and the overall sector: Dr. Danny Rittman, CTO of GBT Technologies Inc. (OTC PINK:GTCH), and Mr. Babak Hodjat, VP of Evolutionary AI, Cognizant Technology Solutions Corporation (NasdaqGS:CTSH). Listen to the podcast interview with Dr. Danny Rittman, CTO of GBT Technologies Inc. (OTC PINK:GTCH) discussing the company's recently announced implementation and development of recurrent relational reasoning (RRN) in its AI, and its applications in the medical field. In a recently published press release, GBT Technologies CTO, Dr. Danny Rittman explained the company's rationale for incorporating recurrent relational reasoning (RRN) into its Avant! "Our goal is to implement a fundamental part of human intelligence called relational reasoning, which is planned to enable Avant! to acquire expertise on its own by understanding object's relations. Avant! will include an advanced artificial neural network (ANN) capable of pattern recognition and reasoning about those patterns which is very similar to the human brain."

Indonesian insurance provider TUGU Insurance has launched the "tdrive" mobile app to deliver a seamless brand experience to its agents and customers. Developed by Singapore-based insurtech company Zensung, the app leverages artificial intelligence and Internet of Things to prevent and reduce fraudulent claims. The app is currently available for TUGU Insurance's auto insurance products, but plans to expand it to other verticals such as travel, medical and home insurance are in the pipeline. While enabling agents and policyholders to buy insurance and submit their claims digitally, the app also aims to help them understand potential risks. According to a press release, tdrive includes functions to promote safe driving and drivers safety as well as carbon footprint awareness for drivers and organisations.