Google details how ML helps transcribe, recognize audio in Recorder app

MobileSyrup | December 19, 2019

Following up an extensive explainer on some of the artificial intelligence (AI) and machine learning (ML) technology behind the camera in the Pixel 4, Google’s AI team has posted another blog detailing how the new Recorder app works. Recorder launched on Pixel 4 and recently made its way to older Pixel devices. The app offers the ability to not only record audio but transcribe it and recognize different sounds so users can search through recordings with ease. In the post, Google notes that it built Recorder because “much of the world’s information is conveyed through speech,” which can be difficult to look through to find information after the fact. Google created Recorder to help users find that information. The app uses an on-device machine learning model optimized for long, multi-hour audio sessions. Google also made sure that Recorder could index conversations “by mapping words to timestamps as computed by the speech recognition model.” If you’ve used the Recorder app, this is what allows you to tap on a word in the transcription and start playback from that specific point. It also enables the ability to search recordings for a word and jump directly to that point in the audio.

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AI TECH,GENERAL AI,AI APPLICATIONS

VisualCortex joins NVIDIA Metropolis to enhance business insights with vision AI

VisualCortex | September 01, 2022

Video Intelligence Platform provider, VisualCortex, today announced it has joined NVIDIA Metropolis, a partner program focused on bringing to market a new generation of vision AI applications. NVIDIA Metropolis nurtures a rich ecosystem and offers powerful developer tools to supercharge vision AI applications that are designed to make the world's most important spaces and operations safer and more efficient. As part of NVIDIA Metropolis and the NVIDIA Inception program, which nurtures cutting-edge startups, VisualCortex is on a mission to make video data actionable throughout the enterprise for all video-rich industries and business functions. Unlike camera-side or point solutions, which typically focus on one video analytics challenge per deployment, VisualCortex delivers a highly performant enterprise-grade platform to facilitate any real-time or historical video analytics use case. To offer its customers highly scalable and cost-effective solutions, VisualCortex takes advantage of the NVIDIA DeepStream software development kit and NVIDIA Tensor Core GPUs, including the A100 and the H100, once it becomes available. VisualCortex is an early adopter of the new NVIDIA Jetson Orin™ platform for edge-based AI implementations. VisualCortex CEO and Co-Founder, Patrick Elliott, said that NVIDIA's support for its vision AI ecosystem was outstanding. "NVIDIA provides amazing depth and quality of support for AI start-ups," said Elliott. "This includes access to resources for our development team – from exclusive tools and technical training, to direct collaboration sessions with the NVIDIA developer team. Our ability to gain early insights into NVIDIA's upcoming products and services, as well as make valuable connections with other vendors and partners throughout the NVIDIA ecosystem, accelerates our growth and go-to-market success. We're thrilled to be part of NVIDIA Metropolis." NVIDIA Metropolis makes it easier and more cost effective for enterprises, governments and integration partners to use world-class, AI-enabled solutions to improve critical operational efficiency and safety problems. The NVIDIA Metropolis ecosystem contains a large and growing breadth of members who are investing in the most advanced AI techniques, most efficient deployment platforms, and using an enterprise-class approach to their solutions. Members have the opportunity to gain early access to NVIDIA platform updates to further enhance and accelerate their AI application development efforts. Further, the program offers the opportunity for members to collaborate with industry-leading experts and other AI-driven organizations. About VisualCortex VisualCortex is making video data actionable in the enterprise. As the world's best Video Intelligence Platform, VisualCortex provides the stability and scalability to productionize computer vision technology for the first time. Unlike camera-side or point solutions, VisualCortex can be used for any video analytics use case in any industry. VisualCortex's production-ready cloud-based environment transforms video assets into analyzable streams of data at scale.

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SOFTWARE

Mobileye Launches EyeQ Kit: New SDK for Advanced Safety and Driver-Assistance Systems

Mobileye | July 06, 2022

Mobileye, an Intel company, has launched the EyeQ Kit™ – its first software development kit (SDK) for the EyeQ® system-on-chip that powers driver-assistance and future autonomous technologies for automakers worldwide. Built to leverage the powerful and highly power-efficient architecture of the upcoming EyeQ®6 High and EyeQ®Ultra processors, EyeQ Kit allows automakers to utilize Mobileye's proven core technology, while deploying their own differentiated code and human-machine interface tools on the EyeQ platform. “EyeQ Kit allows our customers to benefit from the best of both worlds — Mobileye's proven and validated core technologies, along with their own expertise in delivering unique driver experiences and interfaces. As more core functions of vehicles are defined in software, we know our customers will want the flexibility and capacity they need to differentiate and define their brands through code.” Prof. Amnon Shashua, Mobileye president and chief executive officer How it Works: Through EyeQ hardware and software, automakers have access to a broad set of Mobileye solutions, including computer vision, REM™ crowdsourced mapping, and RSS-based driving policy. Using EyeQ Kit, automakers can further leverage the power of Mobileye’s system-on-chip to augment the advanced driver functions with a look and feel that is unique to their brands. And as the visual demands for interaction and communication between drivers and vehicles grows more complex, EyeQ Kit gives automakers a new path to tailor critical information flows. EyeQ Kit will help support features such as surround visualization, automated lane-keeping, and road-sign recognition through more advanced augmented reality displays. EyeQ Kit was developed by hundreds of Mobileye engineers drawing on deep experience across Intel and Mobileye, with experts in compilers and development environments such as OpenCL standards, leveraging compilation frameworks used for intensive computing and deep learning. This approach allows automakers to develop their own applications easily and efficiently. It also opens the ability to co-host third-party applications, which lowers the costs of integrating other chips. Why it Matters: From general-purpose CPU cores to high compute-dense accelerators – including deep-learning neural networks – EyeQ has a scalable and modular architecture that seeks to achieve high performance while offering a suitable power efficiency to deploy artificial intelligence at the edge for automotive applications. Previous generations of the EyeQ chip have been deployed in more than 100 million vehicles, with dozens of the world’s largest automakers using them to provide safety and driver-assistance features in hundreds of models worldwide. Now, EyeQ Kit aims to reduce development costs, accelerate time to market and enable hardware vendor flexibility for the full development cycle – from conception to deployment and performance tuning. “Mobileye’s core technologies of computer vision, driving policy, REM and RSS are driven by purpose built SoCs allowing for scale and efficiency. Automakers can now build on top of Mobileye’s core technologies while benefiting from our diverse set of accelerators purpose built for ADAS and AV. Automakers can rely on the EyeQ Kit and EyeQ processor family to bring a technologically advanced vision for their brands to life, quickly and efficiently,” Shashua said. EyeQ Kit has already been deployed with one major global automaker for future vehicle programs. About Mobileye Mobileye is a leader in the development and deployment of advanced driver assistance systems (ADAS) and autonomous driving technologies and solutions. Mobileye pioneered ADAS technology more than 20 years ago and has continuously expanded the scope of its ADAS offerings, while leading the evolution to autonomous driving solutions. About Intel Intel is an industry leader, creating world-changing technology that enables global progress and enriches lives. Inspired by Moore’s Law, we continuously work to advance the design and manufacturing of semiconductors to help address our customers’ greatest challenges. By embedding intelligence in the cloud, network, edge and every kind of computing device, we unleash the potential of data to transform business and society for the better. To learn more about Intel’s innovations, go to newsroom.intel.com and intel.com.

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AI TECH,GENERAL AI,AI APPLICATIONS

Blueshift Launches AI Recommendations Recipes for Marketers

Blueshift | September 05, 2022

Blueshift, the leading Smart Hub platform for intelligent customer engagement, today announced at the company's Engage 2022 conference the launch of the industry's first collection of 100+ pre-built AI Recommendations Recipes for marketers. The new recipes, together with Blueshift's industry-leading Recommendations Studio, provide unparalleled ease of use for marketers for hyper-personalized customer engagement, enabling them to recommend content, products, and offers that are based on each customer's individual behavior, as well as the behavior of similar customers. Today's consumers demand personalization across all engagement channels and interaction touch points, and the use of AI has become key for marketers to successfully scale their efforts. In fact, studies show that marketing campaigns featuring AI recommendations are 116% more effective, driven by 22% higher click rates and 209% higher conversion rates. Over the last 12 months, marketers have hyper-personalized more than 10 billion messages using Blueshift's Recommendation Studio, which is built using patented technology. Furthermore, Blueshift customers have reported significant business results from using recommendations, including 131% higher sales and 384% higher lead volumes. "With today's release of AI Recommendations Recipes, we are excited to bring accessible AI directly in the hands of marketers. "We are empowering a new generation of marketers who are data artists, combining the art of marketing with the power of AI and data science." Manyam Mallela, Co-Founder and Chief AI Officer at Blueshift The new capabilities for AI Recommendations Recipes unveiled today empower marketers to: Get started quickly with 100+ pre-built AI marketing recipes: Marketers now have a great starting canvas, pre-loaded with configurations for common use cases like abandoned carts, newsletter feeds based on affinities, cross-merchandising based on the wisdom of the crowds, trending content or changes to catalogs, and more. These recipes can be easily edited to get the recommendations just right for each use case. Personalize each message using drag-and-drop simplicity: Once the recommendation scheme using out-of-the-box recommendation recipes have been built, marketers can use a newly released drag-and-drop interface to insert them into emails, SMS, push notifications, in-app messages, or any creatives for their campaigns. Additionally, it's easy to suppress repetitive recommendations and to include seasonal and business promotions alongside predictive content. Analyze and optimize with advanced reporting: New in-depth reporting on advanced recommendation analytics enables marketers to optimize campaigns by using the best-performing recommendations, while also gaining visibility into which items are being recommended to each user and which ones users are engaging with. Retailers, ecommerce providers, and digital media and over-the-top (OTT) companies are especially poised to benefit from these new capabilities provided by AI Recommendations Recipes. For instance, retailers can design customer journeys with highly relevant content and recommendations in real time based on the shopper's affinities, search and browse activity and purchase history. Streaming service providers can use advanced AI to precisely match millions of viewers with hundreds of thousands of media content catalog items and engage them with daily content feeds that are auto optimized based on prior activity. About Blueshift San Francisco-based Blueshift helps brands deliver relevant, connected experiences across every customer interaction. The Blueshift cross-channel marketing platform uses patented AI technology to unify, inform, and activate the fullness of customer data across all channels and applications. Through unified data, cross-channel orchestration, intelligent decisioning, and unmatched scale, Blueshift gives brands all the tools they need to seamlessly deliver 1:1 experiences in real-time across the entire customer journey. Blueshift has been recognized in the 2021 Deloitte Technology Fast 500™ list as one of the fastest growing technology companies in North America.

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AI TECH,GENERAL AI

Empower AI Launches AI Solution Set to Supercharge Digital Transformation Initiatives

Empower AI | September 13, 2022

Empower AI (formerly NCI Information Systems), a leading provider of artificial intelligence and other technologies to U.S. government agencies, today announced that it has launched a set of new AI solutions that will provide federal technology leaders with the power to swiftly transform existing programs into future-ready systems. The AI solution set, called Empower AI Develops, leverages natural language processing, machine learning, and hyperautomation capabilities to rapidly analyze and define the current state of an agency’s IT systems, including existing or future computer code. It then provides precise guidance on the best path forward to accelerate accurate and secure development with AI in an immersive experience that augments and enhances human developers. As a result, Empower AI Develops accelerates rapid modernization while minimizing disruption and risk for federal agencies. “One of the biggest concerns we hear from our federal customers is the volume of code, the lack of documentation, and the potential vulnerabilities in their IT systems. “Every agency has a challenge, to some degree, with legacy code built by many generations of developers and methodologies. Over time, security methods that were used in that code become vulnerable or provide other risks, which can lead to poor performance or even larger concerns.” Paul Dillahay, president and CEO of Empower AI To address this challenge and others facing federal IT leaders, Dillahay said Empower AI technologists wanted to create a solution that enabled federal leaders to quickly understand the complete picture of their assets and vulnerabilities in their own environment, and then use AI to help them analyze and develop new code in a fraction of the time and cost it would take human developers, while decreasing the risk introduced by traditional modernization efforts. “This set of solutions will help federal technology leaders accelerate their modernization initiatives by shortening software development cycles to minimize disruption and risk,” Dillahay said. The Empower AI Develops product suite includes: Code Analyzer: Uses natural language processing (NLP), machine learning, and a set of proprietary algorithms to perform a comprehensive analysis and report on any existing code. Code Programmer: Reviews and ingests any existing codebase using DevSecOps methodology. Once the codebase has been evaluated and documented, the AI Code Programmer tools generate refactored, object-oriented code and/or entirely new code from natural language function descriptions. Infrastructure Developer: Creates code with seamless integration into the continuous integration / continuous development pipeline, allowing for connections into help desk applications, as well as DevSecOps components and other CI/CD pipeline software while integrating approved static and variable security tools. Dillahay noted that additional solutions in the Empower AI Develops product suite are being tested now that will help federal leaders on other legacy code challenges, including code refactoring and story programming. All elements of the new product will help federal IT leaders elevate their mission-critical programs using proven AI technologies at scale. “In addition to helping agencies modernize their code and documentation quickly, these solutions will also help agencies realize gains from investments they’ve made in the cloud or other security enhancements,” Dillahay said. “We’re really looking forward to helping them advance their missions and performance in a cost-effective way.” About Empower AI Empower AI is AI for government. Empower AI gives federal agency leaders the tools to elevate the potential of their workforce with a direct path for meaningful transformation. Headquartered in Reston, VA, Empower AI leverages three decades of mission experience solving complex challenges in Health, Defense, and Civilian missions. Their proven Empower AI Platform provides a practical, sustainable path for clients to achieve transformation that is true to who they are, what they do, and how they work, with the resources they have. The result is a government workforce that is exponentially more creative and productive.

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Can't keep up with all the technology undustry merger's and acquisitions? Use this to keep track of the major players and what products and services they've added to their portfolios. For coverage of any of these deals, key in a company in ITWorldCanada.com's search engine.

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