Lionbridge, the world's most trusted globalization partner, is pleased to announce the launch of Lionbridge AI. Marrying the market-leading human-annotated AI training data services and linguistic capabilities of Lionbridge, formerly known as Machine Intelligence, with the data training platform and marketplace of recently-acquired Gengo, Lionbridge AI provides a suite of capabilities and services that meets the end-to-end needs of companies building the next generation of machine learning and artificial intelligence (AI) systems. "This is an incredible opportunity to bring together our services, technology platform and voice capabilities into a single offering," said Lionbridge CEO John Fennelly. "We are confident that Lionbridge AI will help our customers deliver improved, more engaging, and increasingly human-like experiences to their artificial intelligence initiatives." As nearly every company contemplates how to use AI to build smarter products and services, while determining how to derive greater predictive capabilities to strengthen the customer experience, Lionbridge AI is perfectly positioned to support the ever-expanding array of uses for artificial intelligence.

BAE Systems is a technology partner with robotic process automation (RPA) leader, UiPath, in developing suites of software robots that its customers can use to automate high-volume, repetitive business processes. This press release features multimedia. BAE Systems is now a technology partner with robotic process automation leader, UiPath, to integrate machine learning capabilities into defense and intelligence community programs. "RPAs fuel machine learning tools by feeding them high volumes of structured data necessary for it to begin learning and improving automatically, without being programmed," said Don DeSanto, director of strategic partnerships for the BAE Systems Intelligence & Security sector. "Human-machine teaming is the future of technology, and RPAs serve as workforce multipliers that can be designed to automate many common tasks performed in organizations every day."

Caris Life Sciences, a leading innovator in molecular science focused on fulfilling the promise of precision medicine, today presented a poster demonstrating how its advanced machine learning approach, Caris Next Generation Profiling, enables a proprietary algorithm to molecularly classify tumor samples into cancer types. These results, presented at the 2019 American Society of Clinical Oncology (ASCO) Annual Meeting, showcase how analysis of large combined molecular and clinical datasets can improve diagnosis of challenging cases, which is expected to inform increasingly personalized and precise cancer treatments. The poster, "Machine Learning Algorithm Analysis using a Commercial 592-gene NGS Panel to Accurately Predict Tumor Lineage for Carcinoma of Unknown Primary (CUP)," was presented at this morning's Developmental Therapeutics and Tumor Biology (Nonimmuno) Poster Session. Caris scientists detailed how Caris Next Generation Profiling identified molecular classifications for tumor samples with over 95% accuracy using next generation sequencing (NGS) data from 55,780 tumor patients. It generated an unequivocal result in the vast majority of cases of carcinoma of unknown primary (CUP), when there was ambiguity about tissue of origin.

CHICAGO & MADISON, Wis.--(BUSINESS WIRE)--Arturo, an artificial intelligence (AI) and deep-learning property analytics start-up, announced today the close of Seed Series Transaction, with lead investor and Arturo co-developer American Family Insurance. Following the close of the transaction, Madison-based American Family Insurance will remain a customer as well as an investor in Arturo. Arturo grew out of investment and more than three years of research by American Family Insurance on the application of artificial intelligence (AI) and deep learning to satellite, aerial, drone, and ground-level imagery to accurately assess physical property characteristics for residential and commercial properties. Arturo's AI-powered analytics generate detailed property information often in under five seconds. It enables a variety of businesses that insure, lend, invest, or manage residential or commercial properties to make more informed decisions and better manage risk with the most up to date information available.

The U.K.'s University of Surrey has announced that it's securing digital government records of national video archives around the world against tampering using blockchain tech and artificial intelligence (AI). In a press release provided to CoinDesk, the university said its Centre for Vision, Speech and Signal Processing (CVSSP) has teamed up with the Open Data Institute and the National Archives in the U.K. to develop what it calls a "highly secure, decentralised computer vision and blockchain based system" called ARCHANGEL, which is designed to preserve the integrity of digital archives for the long term. Computer vision is a field in which computers are programmed to analyze and understand digital images or videos. The system "essentially provides a digital fingerprint for archives, making it possible to verify their authenticity," according to project lead at the University of Surrey, Professor John Collomosse. ARCHANGEL uses blockchain tech as a database maintained by a number of archives.

Emirates NBD will also utilize AWS data analytics, Internet of Things (IoT), Natural Language Processing (NLP), and other advanced technologies as part of its ongoing efforts to better engage with customers and simplify banking. A front-runner in retail banking innovation, Emirates NBD is working with AWS because of its broad and deep portfolio of cloud services and the increased security and control Emirates NBD can achieve in the cloud, and is continuing to invest in AWS as its preferred provider for machine learning workloads. With AWS, Emirates NBD will take further advantage of AWS artificial intelligence and machine learning services including Amazon SageMaker, a fully managed machine learning service for building, training, and deploying machine learning models to provide relevant real-time banking experiences. To create a more rewarding and customer-centric banking experience, Emirates NBD is also leveraging Amazon Personalize, an AWS machine learning service that enables the development of individualized recommendations to launch new personalized retail banking applications. One of the first of these applications is a personal finance manager that uses an automated, self-learning system to deliver a highly personalized banking experience to customers in order to predict what each individual customer needs and match this with the most appropriate solution. To support this work, Emirates NBD is using Amazon Polly, a cloud service that uses advanced deep learning technologies to convert written content into human-like speech, in its automated call center to further enhance customer interactions by delivering lifelike voice banking experiences.

SoftBank Group Corp.'s early-stage venture capital arm is setting up a second investment fund dedicated to unearthing promising startups in artificial intelligence, propelling founder Masayoshi Son's ambition of staking out a position in the nascent technology. Deepcore Inc. is preparing to form a new AI investment fund in two to three years as it expands its core startup incubation business, Chief Executive Officer Katsumasa Niki said in an interview. The company aims to find promising companies and nurture the next generation of up-and-comers, enroute to addressing Japan's deficit of global AI firms. Deepcore's second fund will surpass the 6 billion yen ($55 million) raised for the first, Niki said without elaborating. The effort is separate from SoftBank's much better-known Vision Fund, the $100 billion giant that has made large bets on industries from ride-hailing and autonomous driving to co-working spaces.

NEW YORK, May 27, 2019 /PRNewswire-PRWeb/ -- TTEK Inc. and Altana Trade today jointly announced their Alliance Agreement to deliver integrated technology solutions in trade risk management. As part of the alliance, TTEK will promote Altana Trade's products for data fusion and artificial intelligence-based risk management to government agencies worldwide. Altana will similarly incorporate TTEK's risk analytics and risk management workflow software in its solutions for financial services providers, multinationals, and logistics providers. TTEK is a rapidly growing provider of customs administration and risk management software and consulting services. With a global customer base and a team comprised of more than 150 of the world's preeminent customs modernization and risk management experts, TTEK helps to facilitate legal trade, enable systems interoperability and inter-agency coordination, and selectively target and inspect high-risk border flows.

May 17, 2019 -- Microsoft Corp. and global education provider General Assembly (GA) on Friday announced a partnership to close skills gaps in the rapidly growing fields of artificial intelligence (AI), cloud and data engineering, machine learning, data science, and more. This initiative will create standards and credentials for AI skills, upskill and reskill 15,000 workers by 2022, and create a pool of AI talent for the global workforce. Technologies like AI are creating demand for new worker skills and competencies: According to the World Economic Forum, up to 133 million new roles could be created by 2022 as a result of the new division of labor between humans, machines and algorithms. To address this challenge, Microsoft and GA will power 2,000 job transitions for workers into AI and machine learning roles in year one and will train an additional 13,000 workers with AI-related skills across sectors in the next three years. "Artificial intelligence is driving the greatest disruption to our global economy since industrialization, and Microsoft is an amazing partner as we develop solutions to empower companies and workers to meet that disruption head on," said Jake Schwartz, CEO and co-founder of GA. "At its core, GA has always been laser-focused on connecting what companies need to the skills that workers obtain, and we are excited to team up with Microsoft to tackle the AI skills gap."

Stamford, CT, May 20, 2019 (GLOBE NEWSWIRE) -- Imperative Execution, Inc. – the financial technology company that created IntelligentCross, an AI-powered alternative trading system built to reduce implicit trading costs – today announced performance results for its first eight months of operations. The venue has matched more than 1.5 billion shares since its launch with an observed price impact following these trades of 0.13bp, which is nearly ten times less than the 1.37bp average following comparable execution on U.S. securities exchanges. At the current rate of U.S. equities daily turnover, savings of that magnitude could save investors $10B per year. IntelligentCross is the industry's first smart venue to use artificial intelligence to optimize order matching to help investment managers and brokers reduce trading costs and improve execution quality on behalf of their clients. Its design was borne out of its founders' years trading on the buy-side, where traders are obsessed with implementation shortfall (IS) costs – in other words, the difference, or "slippage," between the arrival price and the execution price for completing a trade.