Kellton Tech (BSE: KELLTONTEC) (NSE: KELLTONTEC), a global leader in next-generation digital transformation and enterprise intelligence solutions, announced that it has been selected as a technology partner by Hyderabad Metropolitan Water Supply and Sewerage Board (HMWSSB) to revolutionize its citizen service delivery and create world-class experiences. As a part of this engagement, Kellton Tech will leverage descriptive analytics and IoT-based smart metering technology to support HMWSSB with real-time information for planning, monitoring, and diagnosis of its systems and processes across its value chains. This holistic solution approach will help HMWSSB forecast demand and dynamically price resource consumption based on predictive analytics, thus promoting more efficient water use and ensuring fair pricing to citizens. Furthermore, HMWSSB will drive faster data-driven decisions, better optimize the government machinery and ecosystem for the timely elimination of inefficiencies, and curate frictionless experiences for the residents of Hyderabad Metropolitan today and in the future. Kellton Tech will also collaborate to help HMWSSB streamline its grievance redressal by introducing AI-based Metro Customer Care and addressing the needs of citizens and society with more agility and responsiveness.

This alliance will enable the company to offer its AI-powered credit underwriting technology to credit unions throughout Michigan. Organized in 1934, MCUL has a proud tradition of innovation and leadership among the nation's credit union trade associations. The partnership with Scienaptic will enable MCUL to deepen its commitment towards serving its members, expanding their market presence and improving their financial status. Scienaptic's current Michigan clients include Advantage One Credit Union and 4Front Credit Union. In a recent press release, Nicholas Schmitter, Chief Lending Officer at Advantage One, said, "Scienaptic's AI-powered credit decisioning platform will allow us to go the extra mile. It will give better access to credit for many deserving members."

New York, US, Jan. 31, 2022 (GLOBE NEWSWIRE) -- Market Overview: According to a comprehensive research report by Market Research Future (MRFR), "AI as a Service Market information by Technology, by Vertical and Region – forecast to 2030" market size to reach USD 43.29 billion, growing at a compound annual growth rate of 25.8% by 2030. AIaaS Market Scope: The increasing expenditure to adopt AI and advances in technology for workflow optimization will offer robust opportunities for the AlaaS market over the forecast period. Besides, the increasing adoption of cloud-based solutions in different end user industries & increasing need for cognitive computing will also fuel market growth. Besides, the other factors adding market growth include the increasing use of social media platforms, increase in the number of start-ups, and increasing demand for artificial intelligence enabled SDK's and APIs. Market USP Exclusively Encompassed: AIaaS Market Drivers Growing Need for AI and Cognitive Computing to Boost Market Growth The growing need for artificial intelligence and cognitive computing & the large-scale use of cloud-based solutions for intelligent business applications will boost market growth over the forecast period.

Washington, DC (CNN)Tesla CEO Elon Musk said Wednesday that he believes the company's goal of a humanoid robot is the most important thing it's working on. The electric vehicle manufacturer first announced its robot plans at its AI Day last year. Instead of showing off any sort of prototype, a person in a robot suit walked stiffly on stage and proceeded to dance, spin and pretend to jump rope. "Obviously that was not real," Musk told the audience, after thanking the person for their robot performance. On the company's earnings call Wednesday, Musk said of its planned robot, "This I think has the potential to be more significant than the vehicle business over time."

The Machine Learning (ML) team supports production-facing customer experiences and solutions including search engines, style and template recommendations, dynamic content generation, phishing and fraud detection and more. You will be an ML Product engineer reporting to the manager of Machine Learning. ML Product builds production systems and services to bring machine learning to engineering teams across Squarespace. Squarespace has access to incredibly rich sources of user content and behavior, and we want to leverage those unique datasets to provide every customer the experience they need to be successful. You will engage with stakeholders, refine requirements, rapidly prototype, deploy and maintain production machine learning systems.

AIoT is the catalyst for the advent of the smart era, and edge computing devices lie at the core of real-time processing and analysis in the field. The Cincoze GOLD series is a range of GPU computers designed from the ground up to meet the needs of large-scale image processing, machine vision, and machine learning applications in AIoT. The series includes the GP-3000 and GM-1000, which are selectable according to application requirements like size, performance, I/O, functionality, and future upgradeability. Whether it is smart manufacturing, smart transportation, smart cities, or even national defense, the GOLD series is an excellent choice for building smart applications for AIoT. The GP-3000 series is a top-of-the-line GPU edge computer that supports 720W total system power.

The CEO of ID.me, a service used by dozens of states to verify unemployment benefits claimants as well as several federal agencies, has walked back previous claims that the company does not use a more powerful method of facial recognition. Founder and CEO @Blake_Hall issues an important statement around "1 to Many" check on selfies to combat identity theft. To learn more about the example of Eric Jaklitsch of New Jersey referenced in the statement below, visit: https://t.co/OLQX1gAhYL "ID.me uses a specific '1 to Many' check on selfies tied to government programs targeted by organized crime to prevent prolific identity thieves and members of organized crime from stealing the identities of innocent victims en masse," Blake Hall said in a statement. "This step is internal to ID.me and does not involve any external or government database."

MotorDNA seeks to close the data gap between the Insurers, Consumers, Auto Lenders, Fleet Managers, Regulators, and OEMs with a platform to encourage the production and demand for safer vehicles. The US Automobile Insurance industry, valued at greater than $300B, is modernizing and transforming its products to mirror the transformation in the mobility space. Automobile technology is rapidly advancing, and vehicles are getting smarter. Safety features, sometimes referred to as ADAS (Advanced Driver Assistance Systems) and their effectiveness are progressing quickly on the journey to autonomous driving. However, vehicle build data is neither readily available in the market nor has it been organized to make it actionable for insurers to create products and pricing based on accurately assessing the risk of each vehicle.

SiteAware, the pioneers of Digital Construction Verification (DCV) technology, announced today a $15 million Series B financing round led by Vertex Ventures, with participation from existing investors Bosch, Axon, Orizon, and lool Ventures. The company plans to use the funds to further scale its industry presence and to make Digital Construction Verification the new standard throughout the US construction industry. SiteAware was created to help contractors and developers overcome these challenges. The company's unique AI-powered DCV platform turns every construction element from the project plans into tagged data to create a digital twin of the building under construction. Each stage of new construction, be it the core, shell, or interior, is documented using drones, on-sitecameras, or people on the ground.

MotorDNA seeks to close the data gap between the Insurers, Consumers, Auto Lenders, Fleet Managers, Regulators, and OEMs with a platform to encourage the production and demand for safer vehicles. The US Automobile Insurance industry, valued at greater than $300B, is modernizing and transforming its products to mirror the transformation in the mobility space. Automobile technology is rapidly advancing, and vehicles are getting smarter. Safety features, sometimes referred to as ADAS (Advanced Driver Assistance Systems) and their effectiveness are progressing quickly on the journey to autonomous driving. However, vehicle build data is neither readily available in the market nor has it been organized to make it actionable for insurers to create products and pricing based on accurately assessing the risk of each vehicle.