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.

Melior Motion's planetary gearboxes are used in industrial robots with medium to high payload capacities. Schaeffler Group, an automotive and industrial supplier, signed an agreement to acquire all shares of Melior Motion for an undisclosed amount. With the acquisition of Melior Motion, Schaeffler adds more powerful gearboxes for higher payloads to its portfolio. The acquisition strengthens Schaeffler's robotics portfolio. The company began expanding its robotics presence in 2017 when it brought a strain-wave gearbox for use in a collaborative robot to production.

When it comes to manufacturing new lightweight, yet strong components for new passenger jets, scientists are treating the process like trying to brew the most delicious cup of coffee. By using artificial intelligence (AI) and machine learning, researchers at the U.S. Department of Energy's (DOE) Argonne National Laboratory are intelligently and automatically selecting the perfect settings for a different kind of hot brew -- the process of friction stir welding, a common ingredient needed to manufacture airplane components. In a new collaboration with GE Research, Edison Welding Institute and GKN Aerospace, Argonne computer scientists are putting the power of the laboratory's automated machine learning expertise and supercomputers to use. By reducing the number of costly experiments and time-consuming simulations with a new machine learning approach, they can generate accurate models that provide valuable information about the welding process in much less time and at a fraction of the cost. This approach, called DeepHyper, is a scalable automated machine learning package developed by Argonne computational scientist Prasanna Balaprakash and his colleagues at Argonne.

Under the leadership of the Fraunhofer Institutes for Intelligent Analysis and Information Systems (IAIS) and for Integrated Circuits (IIS), the OpenGPT-X project is starting with the goal of developing a large AI language model for Europe. Particular attention is being paid to data protection as well as European language diversity. "International competitors have already recognized the enormous disruptive potential of AI language technologies for business, industry and society. A European AI language model like OpenGPT-X is therefore imperative to ensure Europe's digital sovereignty and market independence," says Dr. Nicolas Flores-Herr, head of the project at Fraunhofer IAIS. Due to the high technical requirements, such as computing power, such powerful language models can so far only be implemented by large companies or consortia.

The Morning Download delivers daily insights and news on business technology from the CIO Journal team. Meta, which announced the news in a blog post Monday, said its research team currently is using the supercomputer to train AI models in natural-language processing and computer vision for research. The aim is to boost capabilities to one day train models with more than a trillion parameters on data sets as large as an exabyte, which is roughly equivalent to 36,000 years of high-quality video. "The experiences we're building for the metaverse require enormous compute power…and RSC will enable new AI models that can learn from trillions of examples, understand hundreds of languages, and more," Meta CEO Mark Zuckerberg said in a statement provided to The Wall Street Journal. By mid-summer, when the AI Research SuperCluster is fully built, it will house some 16,000 GPUs, becoming the fastest AI supercomputer in the world, Meta said.

With a large market to tap into, providing AR experiences can be a competitive edge in many industries. The improving technology also stands to allow for greater efficiency in the workplace. Experts at MobiDev looked at some of the augmented reality trends driving innovation in 2022. Mobile augmented reality has many clear advantages that make it the center of much of the technology's attention. Mobile devices, by their nature, are very portable and easy to bring into nearly any space.

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