Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. The Biden administration called for the monitoring of open-weight models as it looks to collect more information for future regulations. However, the U.S. government did not specify how it plans to regulate models. In a report, the National Telecommunications and Information Administration (NTIA) said it was important to look at the dangers of public AI models with the capability of disrupting current systems to understand how to prevent any disasters. However, the NTIA admitted the U.S. “does not currently have the capacity to monitor and effectively respond to many of the risks arising from foundation models.” Knowing this NTIA suggested three main areas to focus on: collecting evidence on the capabilities of the model to monitor specific risks, evaluate and compare indicators and adopt policies that target these risks. NTIA defines open-weight models as foundation models whose weights, or parameters, were publicly released, and users can download the models

NEW YORK--(BUSINESS WIRE)--Aquant, a leading provider of AI-powered solutions for the field service industry, announced a new strategic vision for its Service Co-Pilot platform, marking a significant leap towards hyper-personalized AI in the service industry. Aquant's latest advancements focus on personalizing AI to uniquely understand and address the complex challenges faced by service organizations in the manufacturing industry.The motivation behind this shift is the surge in AI and IoT adoption. The global AI in manufacturing market is projected to expand significantly to $20 billion by 2028​​ and IoT technologies in manufacturing is expected to reach $538.09 billion in 2028. As a result, machinery is expected to become exponentially more complex. This complexity extends beyond just the design of the machinery; it also impacts the service teams responsible for maintaining machine uptime, making the need for domain-specific, personalized AI to help avoid downtime and keep up with customer expectations more crucial than ever.Shahar Chen, CEO of Aquant, says, "Every service situation is unique, each with its own challenges and requirements, making personalized AI crucial for addressing specific needs effectively. Generic AI models only offer recommendations based on the frequency of the solution in the data, which is only helpful with simple, common issues