Boulder AI Inc., an artificial intelligence-enable smart camera developer, will be acquired by Sighthound Inc., the Florida-based computer vision technology and video analytics company revealed this week. The combined firm will bring to market a scalable video management system capable of turning "any video stream into a network of sensors and truly actionable data for customers," according to a Sighthound news release. Terms of the deal were not disclosed, and Sighthound representatives did not respond to requests for comment. "We are bringing together two fantastic companies with shared values: customer obsession, technology excellence, and solving critical problems," Sighthound CEO RJ Burnham said in a statement. "Together, our aim is to bring openness and programmability to VMS solutions, long seen as closed, proprietary, and inflexible. Our objective is to meet customers where they are, give them great technology that's easy to deploy from a company with integrity and great support."

Collabware, a leading provider of archival, discovery, and records management software, today announced its pledge of $75,000 in cash and resources to contribute to an international research project aimed at the further understanding and responsible development of artificial intelligence (AI) for trustworthy records and archiving practices. "InterPARES is a 20-year project developing theoretical and methodological frameworks for sustainable and responsible information management and we are now launching phase 5, which focuses on the application of Artificial Intelligence," says Luciana Duranti, Director of I Trust AI. "Being able to create a feedback loop between researchers and users and get support from an organization, like Collabware, that is implementing AI in their software and for their customers, allows us to get real world access to understand its impacts and challenges." The Collabware financial commitment will be distributed over five years and include the time of Collabware staff members with expertise in records analysis and data science as consultants and industry experts, as well as, their expenses for participation in research meetings. The AI Project was awarded a $2.5 Million partnership grant this month by the Government of Canada's Social Sciences and Humanities Research Council (SSHRC) and over $3 Million matching funds in cash and in kind by its more than 60 partner organizations in 26 countries and 5 continents. "Collabware has been harnessing the immense computing power and automation of machine learning and artificial intelligence in our software development for years," says Graham Sibley, CEO of Collabware.

SAN ANTONIO, June 22, 2021 (GLOBE NEWSWIRE) -- CloudCommerce, Inc. (CLWD), a technology driven provider of digital advertising solutions, today announced that SWARM, the Company's AI-driven advertising solution, reduced media costs by more than 60% for Energy in Focus, a web based platform that showcases diverse information on energy in California. Based on the first-round results, the client has committed to a second round. Energy in Focus turned to CloudCommerce to better understand which creative initiatives would be best for their different audiences, such as b2b partners and its public advocacy audience. SWARM analyzed the top 5 previous posts from Facebook and used artificial intelligence to develop creative variations which ran on other media platforms. The result: the cost was reduced by more than 60%.

Press release - Global Market Estimates Research & Consultants - Artificial Intelligence in Banking Market - Forecast to 2026 - published on openPR.com

TechSee, which describes itself as an "intelligent visual assistance" company, today announced the launch of Eve Cortex, a platform that teaches itself to recognize thousands of products, models, parts, and components by ingesting only a handful of data points. TechSee claims that by leveraging a combination of AI and synthetic data, Cortex can train itself in a matter of hours, providing end users with step-by-step visual guidance via an augmented reality (AR) overlay. The AR market is estimated to grow from $10.7 billion in 2019 to $72.7 billion by 2024, according to a recent Markets and Markets report. At least a portion of that growth has been driven by field service applications; technicians are faced with the challenging task of working on equipment with varying technical specifications, often in confined or hard-to-reach spaces. With AR apps, they could have all of the information they need displayed in front of them while keeping their hands free to work.

Azure Machine Learning (AML) team is excited to announce the availability of Azure Arc-enabled Machine Learning (ML) public preview release. All customers of Azure Arc-enabled Kubernetes now can deploy AzureML extension release and bring AML to, and the edge using Kubernetes on their hardware of choice. The design for Azure Arc-enabled ML helps IT Operators leverage native Kubernetes concepts such as namespace, node selector, and resources requests/limits for ML compute utilization and optimization. By letting the IT operator manage ML compute setup, Azure Arc-enabled ML creates a seamless AML experience for data scientists who do not need to learn or use Kubernetes directly. Data scientists now can focus on models and work with tools such as Azure Machine Learning AML Studio, AML 2.0 CLI, AML Python SDK, productivity tools like Jupyter notebook, and ML frameworks like TensorFlow and PyTorch.

June 21, 2021--Researchers in the Center for Research on Entertainment and Learning (CREL) at the University of California San Diego have developed a system to analyze and track eye movements to enhance teaching in tomorrow's virtual classrooms – and perhaps future virtual concert halls. UC San Diego music and computer science professor Shlomo Dubnov, an expert in computer music who directs the Qualcomm Institute-based CREL, began developing the new tool to deal with a downside of teaching music over Zoom during the COVID-19 pandemic. "In a music classroom, non-verbal communication such as facial affect and body gestures is critical to keep students on task, coordinate musical flow and communicate improvisational ideas," said Dubnov. "Unfortunately, this non-verbal aspect of teaching and learning is dramatically hampered in the virtual classroom where you don't inhabit the same physical space." To overcome the problem, Dubnov and Ph.D. student Ross Greer recently published a conference paper on a system that uses eye tracking and machine learning to allow an educator to make'eye contact' with individual students or performers in disparate locations – and lets each student know when he or she is the focus of the teacher's attention.

Data Bridge Market Research published a new report, titled, "Artificial intelligence in medical imaging Market". The report offers an extensive analysis of key growth strategies, drivers, opportunities, key segments, and competitive landscape. This study is a helpful source of information for market players, investors, VPs, stakeholders, and new entrants to gain a thorough understanding of the industry and determine steps to be taken to gain a competitive advantage. Businesses can bring about an absolute knowhow of general market conditions and tendencies with the information and data covered in the large scale Artificial intelligence in medical imaging market survey report. To get knowledge of all the above things, this market report is made transparent, wide-ranging and supreme in quality.

Research by Ping An Healthcare Technology Research Institute and Tsinghua University has led to a promising deep learning framework for drug discovery, announced Ping An Insurance (Group) Company of China, Ltd. (hereafter "Ping An" or the "Group", HKEX: 2318; SSE: 601318). The findings were published in "An effective self-supervised framework for learning expressive molecular global representations to drug discovery" in Briefings in Bioinformatics, a peer-reviewed bioinformatics journal. It marks a major technology breakthrough for the Group in the field of AI-driven pharmaceutical research. Drug discovery can take 10 to 15 years from invention to market. It can take a large number of experiments, with significant costs and high failure rates.

Content delivery platform provider Akamai announced Wednesday platform security enhancements intended to increase cybersecurity protections for web applications, APIs and user accounts. Akamai said its machine learning algorithms leverage insights from a dataset of over 1.3 billion daily client interactions to automate threat detections, time-consuming tasks and security logic to help cybersecurity analysts make better decisions faster. The company said it is taking these steps to keep up with attackers who are using AI, machine learning and automation to increase the frequency and sophistication of their attacks. "At Akamai, our latest platform release is intended to help resolve the tension between security and ease of use, with key capabilities around automation and machine learning specifically designed to intelligently augment human decision-making," said Aparna Rayasam, Akamai's senior vice president and general manager for Application Security, in a press release. "Smart automation adds immediate value and empowers users with the right tools to generate insight and context to make faster and more trustworthy decisions ... while anticipating what attackers might do next."