TOKYO, July 12, 2022 (GLOBE NEWSWIRE) -- The Global Artificial Intelligence Robots Market size was valued at USD 6,214 Million in 2021 and is expected to reach USD 66,662 Million by 2030 growing at a CAGR of 30.5% during the forecast period from 2022 to 2030. Human-robot interaction is becoming more common as robots make everyone's lives easier and more comfortable, and as a result, the market for AI robots is expanding. AI, or machine intelligence in robotic systems, is the implementation of AI technology into robots to allow them to perform repetitive tasks more efficiently without human intervention. AI also enables robots to communicate with other autonomous systems. For entrepreneurs, robotic systems will prove to be more effective and cost-effective labor.

"We believe that any company should be able to develop reliable operational ML applications and easily adopt real-time capabilities no matter the use case at hand or the engineering resources on staff. This new funding will help us further build and strengthen both Tecton's feature platform for ML and the Feast open source feature store, enabling organizations of all sizes to build and deploy automated ML into live, customer-facing applications and business processes, quickly and at scale," said Mike Del Balso, co-founder and CEO of Tecton. Tecton was founded by the creators of Uber's Michelangelo platform to make world-class ML accessible to every company. Tecton is a fully-managed ML feature platform that orchestrates the complete lifecycle of features, from transformation to online serving, with enterprise-grade SLAs. The platform enables ML engineers and data scientists to automate the transformation of raw data, generate training data sets and serve features for online inference at scale.

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Acumen Research and Consulting recently published report titled "Artificial Intelligence in Manufacturing Market Size, Share, Analysis Report and Region Forecast, 2022 - 2030" BEIJING, July 11, 2022 (GLOBE NEWSWIRE) -- The Global Artificial Intelligence in Manufacturing Market size accounted for USD 2,963 Million in 2021 and is estimated to reach USD 78,744 Million by 2030. The rising volume of complex data sets is the leading factor boosting the global artificial intelligence in manufacturing market revenue. Our worldwide artificial intelligence in manufacturing industry analysis suggests that the manufacturers require artificial intelligence (AI) in their facilities due to the surging need for enhanced productivity and automation. AI is being used by manufacturers to enhance day-to-day operations, introduce new products, personalize designs, and forecast future financials. According to an MIT survey, about 60% of industry players are already using artificial intelligence.

Darktrace, a global leader in cyber security AI, today announced that it has won the AI & Machine Learning Award at the 2022 Go:Tech Awards. Backed by Business Leader, one of the UK's leading business titles, the annual Go:Tech Awards celebrate the UK's tech pioneers and innovators. Darktrace was named winner in the AI & Machine Learning category, an award which showcases pioneers in the artificial intelligence space. Darktrace was the first to apply artificial intelligence to the challenge of cyber security when it brought'Self-Learning AI' to market in 2013. The technology works by learning a sense of'self' for the organization it is defending, enabling it to understand if a cyber-attack is occurring and then to interrupt the malicious activity in real time.

Semiconductor manufacturer, Nexperia has announced the release of a new range of 20 V & 30 V MOSFETs (metal–oxide–semiconductor field-effect transistors) in the world's smallest DFN (dual-flat no-leads) package, the DFN0603. Nexperia already offers ESD (electrostatic discharge) protection devices in this package, but has now succeeded in bringing it to their MOSFET portfolio, a feat as yet unmatched in the industry. Next generation wearable and hearable devices are incorporating new levels of artificial intelligence (AI) and machine learning (ML), creating several challenges for product designers. Firstly, available board space is at a premium as functionality is added, plus heat dissipation becomes a problem as power consumption increases. Nexperia has drawn on its decades of experience as an industry leader in the production of discrete components and designed this innovative range of tiny MOSFETs to successfully overcome both concerns.

Solar flares, coronal mass ejections, prominences and sunspots are all driven by complex magnetic activity within the Sun's interior and at its surface, illustrated by the ultraviolet image on the right. SAN ANTONIO -- July 6, 2022 --Big data has become a big challenge for space scientists analyzing vast datasets from increasingly powerful space instrumentation. To address this, a Southwest Research Institute team has developed a machine learning tool to efficiently label large, complex datasets to allow deep learning models to sift through and identify potentially hazardous solar events. The new labeling tool can be applied or adapted to address other challenges involving vast datasets. As space instrument packages collect increasingly complex data in ever-increasing volumes, it is becoming more challenging for scientists to process and analyze relevant trends.

TOKYO, July 07, 2022 (GLOBE NEWSWIRE) -- The Global Artificial Intelligence in Genomics Market size accounted for USD 471 Million in 2021 and is estimated to reach USD 18,213 Million by 2030. According to a 2021 study, 62% of healthcare organizations were considering investing in artificial intelligence (AI) and machine learning (ML), and 72% of companies believe AI will be critical to how they do work in the future. Furthermore, 50% of organizations intend to implement and adopt AI strategies by 2025. This trend in artificial intelligence in genomics market will spur the industry demand in the coming years. Likewise, the surging adoption of AI in precision medicine is another trend that is likely to boost the AI in genomics market revenue.

Bengaluru, July 6, 2022: Bengaluru-based Convin.ai, a leading AI-driven platform that reimagines virtual assisted selling for businesses, today announced that it has launched an AI-powered agent assist platform that helps them better prioritize their collection accounts resulting in a 25% increase in the closure rate. The new platform also has a proactive alert mechanism and sentiment analysis that triggers a red alert in case of any shouting or abuse during the call so that necessary steps can be taken to tackle such a situation. The proactive alert mechanism has helped Convin's BFSI customers improve their CSAT scores by 30%. Three main pillars supporting the just launched platform are – 1. Automated quality management, which scores the call performance and identifies training opportunities for agents; 2. Call behaviour analysis which uncovers the behaviour outcome of calls (wins and losses) and 3. Automated quality coaching based on the above 2 that completely removes the dependency on archaic coaching methods. Convin offers a holistic platform that allows customers to interact at multiple channels in different ways, automates conversation analysis, assists agents to sell better, improves agent productivity, and enhances end-customer experiences.

New York, USA, July 05, 2022 (GLOBE NEWSWIRE) -- A new report on the global artificial intelligence in construction market has been added by Research Dive to its repository. According to the report, the global market is expected to hit $2,642.4 million by 2026, rising at a CAGR of 26.3% from 2019 to 2026. This report is a meticulous study offering reliable insights into the present situation and future scope of the global industry. The report is drafted by expert market analysts and assures to be a trustworthy source of data and comprehensive market insights for new market players, investors, prevalent players, stakeholders, shareholders, etc. The key factor thriving the growth of the global artificial intelligence in construction market is the rising demand for artificial intelligence in constructions as it helps in saving time and money, and increases the efficiency of construction activities.