Earners of the Azure AI Fundamentals certification have demonstrated foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services.

Parsons Corporation (NYSE: PSN) is developing and deploying artificial intelligence (AI) across a wide array of federal solutions and critical infrastructure projects to solve our customer's most challenging problems, produce actionable intelligence, and improve the user experience. Data analytics, AI, and edge computing are ingrained in company offerings across all business units. For example, the company developed an AI-enabled weapon-target pairing algorithm, with initial tests showing outstanding accuracy and speed results; produced an electronic warfare (EW) planning optimization tool-set named TEMPO (Tactical Electronic Warfare Machine Learning Planning Optimization); and recently won a classified research and development contract to develop constellation task scheduling algorithms based on organically developed AI technology. "Parsons' artificial intelligence capabilities align with our customer's vision by improving situational awareness, decision-making, the safety of operating equipment, streamlining business processes, and protecting critical infrastructure," said Ricardo Lorenzo, chief technology officer for Parsons. "By combining our AI technical expertise with our operational understanding of the all-domain environment and critical infrastructure markets, we're working closely with our customers to develop leap-ahead technology that empowers operators at the tactical edge and beyond. We're also developing differentiated capabilities that ensure the efficiency and security of existing energy and water networks."

Claro Enterprise Solutions, a leading global technology services company, today announced that its Hospital Asset Management Solution has been selected as a winner in the Business Intelligence Group's Artificial Intelligence Excellence Awards program. Lost and stolen equipment costs the healthcare industry millions annually. Nurses, meanwhile, can spend more than an hour a day looking for equipment and supplies. Claro Enterprise Solutions' award-winning solution addresses this challenge by leveraging AI-enabled video analytics, geo-fencing and beacons to accurately identify and monitor the location and movement of equipment within a healthcare facility. Artificial Intelligence capabilities allow video cameras to identify the type of assets within a facility, while beacons and sensors monitor the location of stationary assets as well as assets in motion.

The "Artificial Intelligence and Machine Learning 2020, Volume 1" report has been added to ResearchAndMarkets.com's offering. This survey gives a comprehensive view of the attitudes, adoption patterns and intentions of artificial intelligence and machine learning developers worldwide. This series focuses on tools, methodologies, and concerns related to implementing machine learning, deep learning, image recognition, pattern recognition and other forms of artificial intelligence as well as efficiently storing, handling, and analyzing large datasets and databases from a wide range of sources. Artificial intelligence is permeating software development in many ways and many industries, which necessitates a thorough knowledge of how developers are doing this. This volume includes research and analysis covering topics such as developer demographics and firmographics, artificial intelligence landscape, methods and approaches, resources and services, conversational systems, speech and image recognition, enterprise AI, security, platform adoption, API frameworks, tools and languages, technology adoption, hardware, hardware optimization, parallelism, and high-performance computing, purchasing and influencers, challenges and barriers to success, AI as it relates to IoT, the Cloud, and containerization and more.

Government regulations and new privacy rules instituted by Apple Inc. and Alphabet Inc.'s Google will limit the ability of advertisers, publishers and tech companies to track users and target ads based on identifiable data. Going forward, marketers will have to revamp their data strategies, while adtech vendors and other companies are hurrying to find alternative ways to reach consumers. One such alternative is contextual advertising: targeting ads by placing them close to relevant content. GumGum uses computer-vision and natural-language processing technologies to scan and analyze text, images, video and audio to help match ads to content. CMO Today delivers the most important news of the day for media and marketing professionals.

The conference starts on Monday, April 12th and is virtual. "The sessions at NVIDIA'S GTC event are always illuminating. Kinetic Vision's two presentations will show how new AI-driven digital twin models are changing the foundations of retail operations and product development," said Jeremy Jarrett, Executive Vice President of Kinetic Vision. The first session is a deep dive into physics-informed neural networks (PINNs). This innovative technology is able to provide real-time simulation results within the design environment, and could even create'intelligent CAD' to guide the user towards the most functional design.

Toyota Motor Corp. announced Thursday its launch of new models for its luxury sedan Lexus LS and hydrogen-powered Mirai equipped with assistant technologies that allow drivers to take their hands off the steering wheel in designated lanes. The new LS went on sale Thursday at a price starting from ¥16.32 million ($148,800). The Mirai will be sold from Monday, priced from ¥8.45 million, the company said. The autonomous driving technology equipped with the new models is a level-2 assistant system that could help with driving on an expressway or other motor-vehicle-only roadway. The technology can help with keeping the vehicle in its lane, maintaining the distance from other cars and navigating a lane splitting.

Transmetrics' demand forecasting and predictive optimization platform is powered by artificial intelligence and machine learning algorithms. With four decades of experience and a strong operational presence in Egypt, KSA, UAE and Sudan, Transmar has built a solid reputation in the market, founded on family values that drive the company's ambition to offer the best in class service to its customers. Transmar owns and operates a large fleet of both dry and refrigerated containers, serves thousands of customers, and moves hundreds of commodities throughout the Middle East. "We strongly believe in the power of Data. Transmetrics' AI solution helps us leverage our 4 decades of operational experience, to make decisions both faster and smarter. As a regionally focused carrier we are more exposed to volatility. We're excited about the capabilities Transmetrics will provide by helping see up to 12 weeks into the future, ensuring we have optimum planning and repositioning plans" said Ahmed el Ahwal, Commercial Manager at Transmar.

AI models not only take time to build and train, but also to deploy in an organization's workflow. That's where MLOps (machine learning operations) companies come in, helping clients scale their AI technology. InfuseAI, a MLOps startup based in Taiwan, announced today it has raised a $4.3 million Series A, led by original design manufacturer Wistron Corporation, with participation from Hive Ventures, Top Taiwan Venture Capital Group and Silicon Valley Taiwan Investments. Founded in 2018, InfuseAI says the market for MLOps solutions is worth $30 million a year in Taiwan, with the global market expected to reach about $4 billion by 2025, according to research firm Cognilytica. Its clients include E.SUN, one of Taiwan's largest banks, SinoPac Holdings and Chimei. InfuseAI helps companies deploy and manage machine learning models with turnkey solutions like PrimeHub, a platform that includes a model training environment, cloud or on-premise cluster computing (including container orchestration with Kubernetes) and collaboration tools for teams.

TORONTO, ON / ACCESSWIRE / April 5, 2021 / DigiCrypts Blockchain Solutions Inc. o/a DigiMax Global Solutions (the "Company" or "DigiMax") (CSE:DIGI), a company that provides artificial intelligence and cryptocurrency technology solutions to individuals and SME's, is pleased to provide a corporate review for Q1 and an outlook for the company in Q2. DigiMax continues to gain momentum in executing its strategy and growing its footprint within the artificial intelligence and cryptocurrency markets. After completing two financings, the Company is fully capitalized for the foreseeable future and is significantly expanding its platform through enhanced product development; commercialization and growth of the Company's cryptocurrency price trend indicator; and, expansion of the Projected Personality Interpreter in tandem with its IBM Watson AI prediction solutions. The company is also advancing new products to be launched in Q3 and Q4, and entertaining new external growth opportunities through potential joint ventures and acquisitions. CryptoDivine Price-Trend Prediction Solution In late February, the Company completed the initial launch of its CryptoDivine.ai