Deci, the deep learning company harnessing AI to build AI, today announced a new set of industry-leading semantic segmentation models, dubbed DeciSeg. Deci's proprietary Automated Neural Architecture Construction (AutoNAC) technology automatically generated semantic segmentation models that significantly outperform the most powerful models publicly available, such as the MobileViT released by Apple, and the DeepLab family released by Google. Deci's models deliver more than 2x lower latency, as well as 3-7% higher accuracy. Semantic segmentation is one of the most widely used computer vision tasks across many business verticals, including automotive, smart cities, healthcare, and consumer applications, and is often required for many edge AI applications. However, significant barriers exist to running semantic segmentation models directly on edge devices, such as high latency and the inability to deploy those models due to their size.

An upcoming segment of Advancements with Ted Danson will discover how developments in technology are making artificial intelligence universally accessible. Viewers will learn how the technology is disrupting the Cloud and Internet of Things market, enabling businesses to supercharge their intelligence layer effortlessly, and allowing users to seamlessly embed and run AI-powered applications on any device, from anywhere in the world. Audiences will learn how SliceX AI is building a next-generation intelligence engine that makes AI fast, cost-effective, and easy to train and deploy across devices and use-cases. The show will explore how the proprietary technology's built-in privacy and breakthrough performance allows businesses of all sizes and developers to get their own slice of next-generation AI and apply it to any vertical such as retail, finance, customer support, health and many more. "Over the past few years, we have witnessed an explosive growth in software-driven automation via AI and the creation of advanced intelligent systems However, given the staggering amount of computing power and cost required to develop and deploy cutting-edge AI in production, it is no surprise that most of the recent progress in AI has been driven by and limited to a handful of large companies that have access to plenty of resources at their disposal," said Sujith Ravi, Founder & CEO of SliceX AI.

The global AI in retail market size is anticipated to reach USD 40.74 billion by 2030, expanding at a CAGR of 23.9% from 2022 to 2030, according to a new study by Grand View Research, Inc. The rising prominence of advanced technologies, such as chatbots and voice recognition programs, has furthered the growth potential. Moreover, the emerging online retail sales, increasing focus of retailers on improving customers' shopping experience, rising reliance on digital marketing, and growing investments in AI, accompanied by supportive government regulations, are the crucial factors contributing to the progress of the industry worldwide. Read 145 page full market research report for more Insights, "AI In Retail Market Size, Share & Trends Analysis Report By Component, By Technology (Chatbots, Natural Language Processing), By Sales Channel, By Application, By Region, And Segment Forecasts, 2022 - 2030", published by Grand View Research. AI algorithms play a pivotal role in assessing a considerable amount of data collated from consumers' online behavior.

Toronto, Ontario--(Newsfile Corp. - September 19, 2022) - Tenet Fintech Group Inc. (CSE: PKK) (OTC Pink: PKKFF) ("Tenet" or the "Company"), an innovative artificial intelligence (AI) service provider and operator of the Cubeler Business Hub, announced today that the number of pre-registrations for its Business Hub in Canada has reached over 1,100 small and medium-sized enterprises (SME). "We are delighted by the great reception of the Cubeler Business Hub from Canadian entrepreneurs and SME executives thus far," says Luc Godard, Vice President of Marketing at Cubeler. "Considering that 1,100 pre-registrations was our objective going into the campaign, and that we have now exceeded that number with over two months to go before the November launch, we may end up with double or even triple the number of our pre-registration target by the time of the launch. We are also very excited by the fact that the pre-registrations come from businesses from coast to coast and cover a wide range of industries, including everything from retail to technology companies and everything in between. We very much look forward to launching the Hub in Canada to provide our members with the tools and resources they need to help redefine what it means to be an SME."

This is our AI Daily Roundup today. We are covering the top updates from around the world. The updates will feature state-of-the-art capabilities in artificial intelligence (AI), Machine Learning, Robotic Process Automation, Fintech, and human-system interactions. We cover the role of AI Daily Roundup and its application in various industries and daily lives. Akur8, the AI insurance pricing company, published results from its first global pricing report, "Akur8 Global Pricing Survey: convergence between actuarial and data science awaited!" Counterpart, the AI-driven management liability insurtech for small businesses, announced the launch of Crime insurance.

Harvard Medical School scientists and colleagues at Stanford University have developed an artificial intelligence diagnostic tool that can detect diseases on chest X-rays directly from natural-language descriptions contained in accompanying clinical reports. The step is deemed a major advance in clinical AI design because most current AI models require laborious human annotation of vast reams of data before the labeled data are fed into the model to train it. A report on the work, published Sept. 15 in Nature Biomedical Engineering, shows that the model, called CheXzero, performed on par with human radiologists in its ability to detect pathologies on chest X-rays. The team has made the code for the model publicly available for other researchers. Most AI models require labeled datasets during their "training" so they can learn to correctly identify pathologies. This process is especially burdensome for medical image-interpretation tasks since it involves large-scale annotation by human clinicians, which is often expensive and time-consuming.

Toronto, Canada, September 16, 2022 – Datametrex AI Ltd. (the "Company" or "Datametrex'') (TSXV: DM) (FSE: D4G) (OTCQB: DTMXF) is pleased to announce that the Company is launching Smart Factory AI technology, which is based on AI, big data, and server automation operating system technologies. The Company is preparing for the first initial release in the United States with room for expansion internationally. Additionally, the Company has received Purchase Orders ("P.O") for approximately $200,000 CAD from various multinational companies including Lotte Data Communication Co., Ltd. The Smart Factory Manufacturing Market size is projected to reach USD 727 Billion by 2030, growing at a CAGR of 12%. The growth is greatly influenced by businesses able to minimize cost and labor of operations and manufacturing. In a recent survey, 75 percent (75%) of respondents say smart manufacturing would increase their company's competitiveness with increased productivity. Smart Factory Manufacturing simplifies company's needs by eliminating human error by utilizing ICT technologies which can streamline production and processing while maintaining sustainability, safety, and product quality. Smart Factories benefit manufactures by creating faster and more cost-efficient processes to get products made. Smart manufacturing improves productivity and engagement by making it easier for employees to communicate. Information can be personalized and customized to better align with the company's manufacturing goals. Digital information allows for better resource usage and optimizes operational plant performance. You get more data, faster. Real-time reporting creates better problem-solving solutions and improves productivity. The smart factory reduces human manual handling by leveraging automation. The factory becomes more efficient because production can be real-time responsive. Since smart manufacturing systems capture data automatically, businesses use data to increase safety and quality. You can customize automatic reporting structures and build quality control routines into the system. Easier and more-direct machine instructions, inline quality checks, and real-time monitoring can reduce the number of human errors to nearly zero. "The size of Smart Factory market is expected to grow more than 60% this year compared to 2020.

Identification of the human voice from different patterns, noises, tones can be the biggest task to achieve. Extracting meaning of the word in context with the sentence can slow down the growth of this market. Resistance in adoption by end-users due to high installation cost associated with these solutions and services is hindering growth of the natural language processing market. Currently, the natural language processing and artificial intelligence is experiencing emergence of various service providers and individual solution providers, which are posing healthy competition to other established service provider. Some major players in this market are Apple Inc., Google Inc., Hewlett-Packard Co, IBM Corp., Microsoft Corp., 3M Co., Dolbey System, Inc., Netbase Solutions Inc., SAS Institute Inc. and others.

Vancouver, Kelowna, and Delta, British Columbia--(Newsfile Corp. - September 15, 2022) - Investorideas.com, a leading investor news resource covering technology and AI stocks releases a special report covering the growth in AI technology utilization in the insurance industry, featuring FatBrain AI (LZG International Inc.) (OTC Pink: LZGI). AI technology utilization in insurance has been spurred partly by the changing work landscape caused by COVID-19 and businesses now adopting some form of remote work options as well as the general adoption of technology in the workplace and at home and how big data collection can work with AI to allow for more effective and customized insurance solutions. A recent article from Mkinsey.com titled "Insurance 2030-The impact of AI on the future of insurance" discussed how AI technology is currently impacting the insurance landscape as "AI's underlying technologies are already being deployed in our businesses, homes, and vehicles, as well as on our person. The disruption from COVID-19 changed the timelines for the adoption of AI by significantly accelerating digitization for insurers. Virtually overnight, organizations had to adjust to accommodate remote workforces, expand their digital capabilities to support distribution, and upgrade their online channels. While most organizations likely didn't invest heavily in AI during the pandemic, the increased emphasis on digital technologies and a greater willingness to embrace change will put them in a better position to incorporate AI into their operations."

NEEDHAM, Mass., September 12, 2022 – Worldwide revenues for the artificial intelligence (AI) market, including software, hardware, and services for both AI centric and AI non-centric applications*, totaled $383.3 billion in 2021, an increase of 20.7% over the prior year, according to the most recent International Data Corporation (IDC) Worldwide Semiannual Artificial Intelligence Tracker. IDC expects the AI market value will reach nearly $450 billion in 2022 and maintain a year-over-year growth rate in the high teens throughout the five-year forecast. "Across all industries and functions, end-user organizations are discovering the benefits of AI technologies, as increasingly powerful AI solutions are enabling better decision-making and higher productivity," said Rasmus Andsbjerg, associate vice president, Data & Analytics at IDC. "The reality is, AI offers solutions to everything we are facing at the moment. AI can be a source for fast-tracking digital transformation journeys, enable cost savings in times of staggering inflation rates and support automation efforts in times of labor shortages." AI Software again accounted for the largest share the overall AI market in 2021.