Asahi Kasei Microdevices (AKM) and Aizip have partnered to unveil two groundbreaking AI-enhanced sensing innovations set for demonstration at CES® 2026. The first is a real-time swallowing detection system using millimeter-wave radar to monitor throat movements and identify aspiration risk—particularly critical for aging populations. According to the American Thoracic Society, aspiration pneumonia caused nearly 186,000 deaths in the U.S. between 1999 and 2022, mostly among those aged 75 and older. AKM’s radar module captures subtle motions without requiring wearable devices. The data is converted into audio signals and analyzed by Aizip’s lightweight AI models running locally on the device, enabling real-time differentiation between swallowing and other movements. This allows immediate alerts to caregivers, potentially preventing choking or aspiration incidents. The second innovation is a gesture recognition platform powered by AKM’s AK05611 analog front-end IC, a compact 1.56 × 2.71 mm chip integrating amplifiers, ADCs, and motion artifact cancellation. Mounted in a wristband, it detects electromyography (EMG) signals from forearm muscles to interpret gestures such as a closed hand, open hand, or tap. These gestures can trigger actions like sending alerts to family or caregivers without touching a screen—ideal for hands-free interaction in healthcare and smart devices. Both solutions emphasize on-device AI processing, eliminating latency, enhancing privacy, and reducing power consumption. “Processing data locally means we can alert caregivers the moment something goes wrong,” said Gregg Rouse, President of AKM’s U.S. business. Weier Wan, Aizip’s CTO, highlighted that their models deliver clinical-grade insights using minimal computing resources, enabling sophisticated sensing in battery-powered, low-cost devices. The collaboration demonstrates how integrating AKM’s advanced sensors with Aizip’s edge AI enables intelligent, life-saving applications in digital health, wearables, and beyond—applications that could extend to industrial, smart home, and automotive sectors. Separately, RegScale has launched the OSCAL Hub, an open-source platform designed to streamline security audits and authorizations across government agencies, cloud providers, and regulated organizations. Built around the Open Security Controls Assessment Language (OSCAL), the Hub accelerates Authority to Operate (ATO) processes by enabling machine-readable compliance documentation. This reduces manual work—saving up to 85% of time—and supports continuous monitoring through automation. The OSCAL Hub was unveiled at the OSCAL Plugfest, a collaborative event fostering real-world problem-solving. RegScale donated the source code to the OSCAL Foundation to promote broader adoption. The platform offers templates, visual tools, and flexible deployment options—on Google Cloud, Azure, AWS, locally, or via command line—making it adaptable for diverse environments. Travis Howerton, Co-Founder and CEO of RegScale, described the Hub as a step toward “hyper automation” in compliance, shifting from periodic audits to continuous, real-time validation. John Banghart, OSCAL Foundation Coordinator, emphasized the community-driven mission behind the platform’s expansion. RegScale’s CCM platform already helps Fortune 500 firms and federal agencies achieve compliance certifications up to 90% faster and reduce audit prep by 60%. With the OSCAL Hub, the goal is to modernize risk and compliance processes across government and industry, enabling faster deployment of secure technologies. Together, these developments reflect a growing trend: AI and automation are reshaping both healthcare sensing and cybersecurity compliance—driving innovation, improving safety, and accelerating digital transformation across sectors.