Uber is heading to Dallas, Texas to test its self-driving cars - but the vehicles will only travel in manual mode. This is the first testing series since the ride-sharing giant's operation was suspended last year a woman was killed by one of its vehicles in Tempe, Arizona. Uber hopes to develop high-definition maps, capture scenarios to create simulations on a test track and refine its expansion methodology during this new phase of testing. Uber is heading to Dallas, Texas to test its self-driving cars –but will be operated manually. 'The City of Dallas has been an exceptional partner to Uber as we continue to expand mobility options for our riders and economic opportunities for restaurants,' Austin Geidt, Head of Uber ATG Strategy, shared in the press release announcing the new development.

Mezzanine.ai is a new approach for businesses looking to engage with machine learning. It empowers your data to be seamlessly and securely evaluated through multiple pre-trained machine learning models through a sophisticated, wizard-driven, orchestration and automation platform. By leveraging a multiplicity of machine learning models simultaneously, the detail and volume of data insights increase exponentially. Through its comprehensive application integration library, mezzanine.ai's Joshua Geist, Geminare's CEO, commented, "Machine learning is a transformational force for businesses, but like so many other technologies before it, access is limited to those with significant budgets and expert knowhow.

LAKE OSWEGO, Ore.--(BUSINESS WIRE)--Vesta, a pioneer in guaranteed payment and fraud technologies, announced today that it has hired Tan Truong as chief information officer. He will be responsible for all aspects of the company's technology, operations and product development as well as spearheading innovation globally. Truong joins Vesta after building the global issuing platform for SVM LP, a leading provider of gift and prepaid cards for the incentive industry, and has more than 15 years of experience in financial technology. His track record includes two successful exits for companies whose technology platforms and teams he helped build, with FSV Payment Systems being acquired by U.S. Bank and UniRush being acquired by Green Dot. He has worked at startups and large corporations, in both strategic and hands-on technologist roles.

GUILFORD, Conn., Sept. 17, 2019 -- InveniAI Corporation, a global leader pioneering the application of artificial intelligence (AI) and machine learning (ML) to transform innovation across healthcare and other industries, today announced the expansion of its flagship AI- and ML-driven innovation monitoring platform, AlphaMeld . This expansion will provide a suite of products to facilitate the democratization of data analysis across the life sciences value chain and tap into InveniAI's extensive domain expertise and curated data sets that have been aligned with industry specific algorithms. CIMeld, an AlphaMeld powered product, will be launched at the upcoming PharmaCI USA 2019 Conference and Exhibition set for September 18-19, where competitive intelligence executives in pharma, biotech and medical devices meet at one of the largest CI assemblies in the world. CIMeld is a unique product that takes advantage of the digital data deluge and leverages AI-powered technology to triangulate signals from multiple sources to generate insights and identify opportunities and threats across diseases, companies, drug portfolios, and early innovation. The AlphaMeld suite of products is accessible via a secure, customized, cloud-based interface with the option to personalize the definition of success and failure that lends a unique competitive advantage to its users.

LittleBigBrain, LLC announced the launch of their Artificial Intelligence (AI) software company.

LONDON--(BUSINESS WIRE)--Tealium, the trusted leader in real-time customer data orchestration, today launches Tealium Predict, built-in machine learning technology for Tealium AudienceStream, its market-leading Customer Data Platform (CDP). Coupled with Tealium AudienceStream, Tealium Predict activates trustworthy machine learning insights across the entire tech stack through the creation of more intelligent audiences. With Tealium Predict, organisations can automatically draw conclusions about what customers are likely to do in the future and design tailored programs that directly address their needs. Score individual customers with predictive potential: Tealium Predict's models score visitors with the likelihood to return or complete any behavior. Organisations can then leverage these scores to generate audiences for further proactive action, like re-engagement campaigns.

SAN FRANCISCO–(BUSINESS WIRE)–INDUS.AI, a construction software company using computer vision to track and analyze construction project performance in real-time, announced today that it has received an $8 million Series A investment led by Millennium New Horizons with additional participation from strategic investors Foundamental and Groundbreak Ventures. Previous investors Spero Ventures, UP2398, and Bootstrap Labs also joined the round. The new funding will be used to accelerate product development and expand sales, marketing and customer success services. "The construction industry has been a neglected space for too long. This country expends extraordinary energy and capital to build amazing things – tunnels, train stations, skyscrapers and stadiums. But the sad truth is that the vast majority of those projects are painfully over-budget and delayed," said Matt Man, CEO and co-founder.

SS&C Technologies Holdings, Inc. (Nasdaq: SSNC) today announced the results of its study detailing innovative technology adoption by investment operations and accounting users in the insurance sector. SS&C's "2019 Insurance Asset Management Technology Outlook" revealed that three quarters of insurance asset managers surveyed are actively deploying or considering deploying innovative technologies such as Robotic Process Automation (RPA), Machine Learning (ML) and Artificial Intelligence (AI). Within this group, 38 percent are using third-party disruptive applications in conjunction with existing investment systems, while another 37 percent are considering using these technologies in the future for recoded or new systems. "Insurance firms are relying more on bank data without their own independent calculation, reconciliation and valuation. Key internal control functions, particularly, independently reconciling positions and cash, are enhanced by artificial intelligence, machine learning and robotic process automation," said Christy Bremner, Senior Vice President and General Manager, SS&C Institutional and Investment Management.

SHENZHEN, China & LONDON--(BUSINESS WIRE)--RoboSense, the leading supplier of LiDAR perception system solutions, and Aidrivers, the UK's leading provider of autonomous mobility solutions for industrial applications announced today a partnership in system integration. Aidrivers will integrate RoboSense Smart LiDAR Sensor System into their own Autonomous Driving Systems. Aidrivers is delivering a fully autonomous natural navigation system that meets industrial safety standards to seaports, particularly for horizontal transportation, aimed for improving operation efficiency and leading the way in industrial autonomous mobility automation. Their solution can work under all harsh weather conditions by achieving true 3D mapping and localization for precision positioning and situation cognisance and they are using RoboSense 3D LiDAR sensor technology, which collects stable and reliable environment information at near and far distance and under different weather conditions. "The performance of RoboSense 3D LiDAR products in harsh weather condition is impressive. We have been testing trailer vehicles under heavy rain and harsh weather conditions and our precision positioning system based on true 3D mapping and localization systems provides accurate localization result. The point cloud data quality in rainy days is excellent and outperforming state of the art."

What would you like to order?" Those are the words you might hear a robot say upon pulling up to a McDonald's drive-thru in the near future. That's because the fast-food company recently agreed to acquire a Silicon Valley-based company called Apprente, which aims to use artificial intelligence to automate the drive-through process. McDonald's hopes using artificial intelligence will not only reduce service time, but also boost profits -- customers might feel less anxious and more inclined to spend when they're dealing with a robot. The company said it might also use Apprente's technology in self-service kiosks someday, and that it plans to form a new group with Apprente employees called McD Tech Labs, which will help to automate drive-thrus. Apprente's system seems unique compared to other voice recognition systems, which normally use "speech-to-text" models that transcribe what a person says and then try to decipher the meaning.