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Shotspotter Patent Enables Advancement in Machine Learning Accuracy

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ShotSpotter (Nasdaq: SSTI), a gunshot detection, location and forensic analysis provider, announces the U.S. Patent and Trademark Office (USPTO) has granted the company U.S. Patent No. 10,424,048 entitled "Systems and Methods Involving Creation and/or Utilization of Image Mosaics in Classification of Acoustic Events." ShotSpotter's real-time gunshot detection solution uses a two-step process that employs both machine classification and human review. The system can distinguish with high accuracy whether a loud, impulsive sound detected by its acoustic sensors is a gunshot or a non-gunshot incident, such as fireworks, in less than 60 seconds, according to the company. The innovation behind the patent granted to ShotSpotter covers the conversion of multiple features of the audio event into a set of visual displays that are combined into a single image mosaic. This enables the system to leverage deep learning neural networks that typically identify and classify images, not sounds.


Investorideas.com Newswire - AI Stock News: GBT (OTCPINK: GTCH) Implementing New Approach within its Intelligent Agent

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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 wireless mesh network technology platform for both mobile and fixed solutions, announced that it is now implementing a new approach within its intelligent agent, recurrent relational reasoning (RRN). The new set of algorithms enables GBT's AI system to explicitly consider relations between objects (Static, moving), or abstract ideas. The RRN methodology will be implemented within Avant! AI within the next months, enabling it with logic analysis boost to handle vast information and data interpretation complexity. One of the key reasons for implementing this new method is to achieve outstanding image-based reasoning tasks for Avant!


IBM announces 2019 Call For Code grand prize winner

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IBM today announced the 2019 Call for Code grand prize was awarded to Prometeo for developing a health monitoring platform for firefighters. The Barcelona-based team consisting of a nurse, a firefighter, and three developers will receive $200,000 and assistance from IBM and its partners to bring the project to life. TNW's finance, blockchain, and business event is coming up soon Promoteo began as an endeavor by firefighter Joan Herrera. Realizing there were no systems in place to monitor the health of firefighters combating wildfires, Herrera and nurse Vicenç Padró began collecting data by hand. Eventually, they joined forces with three IT professionals, Salomé Valero, Josep Ràfols, and Marco Rodriguez, and the team joined the Call For Code challenge.


Microsoft to add more AI-infused apps and features to Dynamics 365 ZDNet

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Microsoft is adding new applications and features to its Dynamics 365 CRM and ERP portfolio, officials announced today, Sept. 23. Many of the new additions to the line-up are "AI-driven," which in this case, means they are built on various Microsoft AI technologies that are now part of a new "Azure AI" brand. Microsoft currently sells several AI-centric "Insights" applications as part of its Dynamics 365 family of products. These include Customer Insights; Customer Service Insights; Market Insights; and Sales Insights. The company announced earlier this year that it would offer between Oct. 1 and March 2020 many incremental new features for these apps and others in the Dynamics 365 and PowerApps family as part of its Wave 2 release.


Artificial Intelligence & Intellectual Property – Driving growth for Media Tech & IT

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Between fiddling our fingers on the tiny buttons of our TV remote and scrolling through endless menus to find something worth watching and talking to a smart assistant via your remote or your smart TV to find a movie based on your interests, which one of them sounds more absurd? The concept of machine-human intelligence coined during the mid-twentieth century and increasingly popular in the sci-fi movies during the early days, has long become a reality and is unfolding more and more potential areas of its application with each passing day. Instead of having incertitude regarding the notion of pursuing AI, most of the companies are now asking themselves the question of how should they pursue AI as they try to unlock the hidden potentials it can provide, and the creative and informatics industries are no exception to the trend. The highly packed and ambitious media industry is always on the hunt for new ways to compete with the firms adopting newer technologies to stay in pace with rising technological transformation. Leading this rapid transformation are the horses of efficient workflow support, content distribution management and revenue growth support.


Change Healthcare Unveils Claims Lifecycle Artificial Intelligence

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ORLANDO, Fla.--(BUSINESS WIRE)--HIMSS19 Booth 3679--Change Healthcare today announced Claims Lifecycle Artificial Intelligence, a new capability being integrated into the company's Intelligent Healthcare NetworkTM and financial solutions, to help providers and payers optimize the entire claims processing lifecycle. This Change Healthcare Claims Lifecycle AI service is trained on more than 500 million service lines making up over 205 million unique claims that touch $268 billion in charges. Solutions and services across the Change Healthcare portfolio are using artificial intelligence (AI) to help customers with improving payment accuracy, reducing denials, enhancing payment forecasting, and reducing administrative overhead. "Our strategy is to bring AI capabilities to the entire healthcare financial and administrative ecosystem, and claims lifecycle management is the logical place to start," said Nick Giannasi, Ph.D., chief AI officer, Change Healthcare. "We're using AI to bend the cost/quality curve of healthcare. By applying AI to our Intelligent Healthcare Network data, combined with our pervasive presence in payer and provider workflows, we are delivering new health IT solutions that help customers address the financial pressures from healthcare costs in ways not previously possible. Applying AI will transform the claims lifecycle process."


Masten partners with MSBAI for AI-Augmented Space Flight Markets Insider

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Masten Space Systems announced a new partnership with MSBAI to integrate cognitive artificial intelligence capabilities for autonomous space flight applications. Sean Mahoney, CEO of Masten Space Systems Inc. said, "Masten Space Systems has long been a pioneer in lean ground crews and CONOPS for space launch and landing. We're excited about our new partnership with MSBAI and what we can do with GURU to take us to the next level of pioneering spacecraft operations with minimal terrestrial crews, for lunar delivery missions, and for deep space robotic missions." ABOUT MASTEN SPACE SYSTEMS Masten Space Systems is a leader in vertical landing technology and EDL test beds with missions to the moon starting in 2021. ABOUT MSBAI MSBAI is solving the reason why 92% of product developers & manufacturers don't use high performance computing in engineering -- with GURU, The Ultimate Engineering AI Assistant!


Docebo Successfully Completes IPO - Learning News

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TORONTO, Thursday, Oct. 10, 2019 - Docebo Inc. (TSX:DCBO) ("Docebo" or the "Company"), has successfully launched its IPO on the Toronto Stock Exchange, marking a milestone moment and a significant achievement for the SaaS e-Learning platform. Docebo, developer of a leading AI-powered learning platform, has seen significant growth thanks to its dedication to its customers' success and consistent string of innovation, from launching its social learning functionality in 2016 to the implementation of in-house build learning specific artificial intelligence algorithms in 2018. Docebo has since become a truly international company with offices in Toronto, Milan, London, Atlanta, and Dubai. With over 2/3s of its revenue based in North America, Docebo's headquarters in Canada has been the hub for the company's international expansion and growth. "Completing this IPO is an exciting achievement for the organization and comes as a result of the talent and dedication of our team and support from our global base of customers and partners," said Claudio Erba, CEO of Docebo.


Four-legged lunar rover unveiled in London

The Japan Times

LONDON – A lunar rover that will explore the moon on foot in 2021 was unveiled in London on Thursday. The new concept, with four legs rather than wheels, will send data back to a larger mother ship, which will transmit it back to Earth. U.K. startup Spacebit signed a contract with U.S. space robotics company Astrobotic to get the rover on board their Peregrine lander, which will carry 14 NASA instruments to the moon. Once the lander reaches the moon's surface, the rover will drop from beneath it to the surface and attempt to explore a lava tube. "It's very important to explore the lunar tubes to know the environment that we have there so potentially humans can live in those lunar tubes when they go back to the moon," SpaceBit founder and CEO Pavlo Tanasyuk said.


Nielsen and Oxford Researchers Accelerate AI-Powered Image Recognition of Products in Stores

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Nielsen (NLSN) and the University of Oxford today announced a two-year collaboration to advance the use of artificial intelligence (AI) to identify and classify consumer packaged goods (CPG) products on shelves in retail stores. Facilitated between Nielsen's Image Recognition group and the Visual Geometry Group (VGG) at the University of Oxford, this partnership brings together the world's largest pool of product reference data with industry-leading brainpower around AI technology to yield greater accuracy in product identification and discovery. Through this partnership, Nielsen is working directly with University of Oxford Professors Andrew Zisserman and Andrea Vedaldi (Department of Engineering Science), world-renowned computer scientists and pioneers in image recognition and AI research. Zisserman, Vedaldi and their team of research scientists will work together with Nielsen to more precisely and quickly identify and classify in-store products based on product images captured through Nielsen's eCollection solution. The Oxford researchers will focus on building and enhancing the eCollection algorithms with increasingly advanced deep learning capabilities, enabling a more automatic detection of store products, promotions and prices without the need for manual intervention.