Newswire) GBT Technologies Inc. (OTCPINK: GTCH) ("GBT", or the "Company"), a company specializing in the development of Internet of Things (IoT) and Artificial Intelligence (AI) enabled networking and tracking technologies, including its GopherInsight global mesh network technology platform for both mobile and fixed solutions, today announced that it commenced R&D activities for machine learning and analog computing, specifically targeting the area of robotics. GBT plans to further research analog computing to drive more improvements in computational efficiency. One of the main aims of this new research and development effort is to provide machine learning algorithms with better resilience to noise and uncertainty, while avoiding a trade-off between accuracy and numerical precision. Analog computing is an innovative emerging field which GBT intends to invest in, in order to enable its AI technology with analog features. GBT will base this new R&D effort on software to be integrated with its existing platforms and hardware.

Paris, September 23, 2019 – Capgemini announced today that it has been named a "Leader" in the NelsonHall Evaluation & Assessment Tool (NEAT) Report on Robotic Process Automation (RPA) and Artificial Intelligence (AI) services for banking. In the latest NEAT report entitled "The Advance of RPA and AI in Banking," Capgemini scored highly as a Leader. NelsonHall evaluated 14 vendors offering RPA and AI services. The report highlighted Capgemini's expertise in the following areas: Anirban Bose, CEO of Capgemini's Financial Services and Member of the Group Executive Board said: "RPA and AI are windows into the future and we are intent on being the partner of choice for banks looking for next generation innovation through RPA and AI. NelsonHall's recognition of our capabilities is affirmation that our vision, offerings, and capabilities are industry leading and we are pleased and proud to be commended as such by NelsonHall's thorough and challenging analysis."

WIRE)–InterSystems, a global leader in information technology platforms for health, business, and government applications, today launched QuickML, available to users of the InterSystems IRIS Data Platform and the InterSystems IRIS for Health Data Platform. The announcement was made at InterSystems Global Summit 2019, the company's annual conference, which is currently being held in Boston. By putting best-of-breed machine learning (ML) within the hands of SQL-oriented developers, QuickML enables organizations to put predictions within their existing applications without needing extremely-scarce ML expert engineers. "QuickML allows all developers using InterSystems IRIS to embed machine learning capabilities in their applications in a simple and scalable format. In this way, we see QuickML enabling all of our application partners to deliver accurate predictions as part of their tool set" Data is at the core of most business processes, and ML offers amazing power for digital transformation -- but the economics of extracting value from this resource are challenging.

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AI-IRSF is an AI system that prevents a fraud that involves hacking of IP-PBX (IP telephony exchange) to generate illegal calls to international numbers. With this Cooperation Agreement, KT will develop and supply more AI based FMS modules to integrate with WeDo's Fraud and Risk Management system. Additional AI based modules will also run on the WeDo's system, and the modular capability of RAID will allow CSPs to choose from different fraud detection models for their market similar to how one chooses applications from a smartphone app store. The open architecture of RAID will also allow other CSPs to develop their own models as well. WeDo Technologies is part of the Mobileum group, a leading enterprise software and analytics company in roaming, security, fraud and risk management serving more than 700 telecommunication providers in more than 180 countries.

It also takes away the need for firms to carry out time-consuming and expensive projects to redesign their technical architecture. Roland Brandli, Product Manager, SmartStream, states: "Imagine having a virtual operations team that never sleeps, constantly comparing and fixing. Having a sophisticated reconciliations solution working perfectly entails effort, cost and access to skilled IT staff. Sometimes, it can be tempting to let maintenance issues slide and not keeping a constant eye on such matters can be risky. If matching rules are not reviewed and reconfigured regularly, matching rates are likely to decrease. Investigating these can involve hiring extra operations staff and impose added expense". The new module is designed to work with SmartStream's TLM Aurora Digital Payments Control solution. The module is easy to deploy, providing a speedy and convenient boost to efficiency for managing reconciliations daily.

This challenge of making quantum-enhanced AI (QAI) applications accessible for a wide variety of users lies at the heart of the PlanQK project. The project aims to develop an open platform and ecosystem for QAI to connect experts and developers as well as users, customers, service providers and consultants. The PlanQK platform will comprise QAI algorithms, applications and data pools. It will be the technical basis for the creation of a QAI community and facilitate the exchange of QAI knowledge and technology. In this way, the PlanQK platform will make quantum-enhanced AI available to industry and, in particular, SMEs and enable them to make use of these key technologies. The PlanQK project is one of 15 projects selected from more than 130 proposals initially submitted to the innovation contest "Artificial intelligence as a driver for economically relevant ecosystems" by the Federal Ministry of Economics and Energy (BMWi).

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NEW DELHI: Google has launched an artificial intelligence (AI) research lab in Bengaluru to "tackle big problems", the technology giant announced on Thursday during its fifth edition of Google for India event. Other key announcements at the flagship event included its partnership with BSNL to bring "fast, reliable and secure public WiFi to villages in Gujarat, Maharashtra and Bihar" and with National Skills Development Corporation (NSDC) for their Skill India programme to make entry-level jobs easily discoverable online. According to Google, the lab will be led by Manish Gupta, a SEM (Society for Experimental Mechanics) fellow. Director of Harvard Centre for Computation & Society, professor Milind Tambe, will serve as director of AI for social good. "Professor Tambe will build a research programme around applying AI to tackle big problems in areas like healthcare, agriculture, or education," the company said.

CHICAGO--(BUSINESS WIRE)--AHIMA booth 904--Change Healthcare (Nasdaq: CHNG) today introduced Charge Capture Advisor, a new cloud-based addition to the company's portfolio of Revenue Integrity Solutions. The solution uses Change Healthcare Artificial Intelligence to identify potentially missing charges for services that providers actually performed before claims are submitted. The result: more complete capture of services rendered without additional time and effort by hospital revenue integrity teams. Working alongside providers' existing health information system (HIS), coding, billing, and manual processes as part of a comprehensive charge-capture strategy, Charge Capture Advisor brings the power of AI to help increase detection of missing charges to drive complete claims, accelerate cash flow, and optimize revenue. "Providers are still falling short of their charge-capture potential, despite using the most sophisticated rules-based systems and meticulous manual audits," said Nick Giannasi, Ph.D., executive vice president and chief AI officer, Change Healthcare.