AI & Machine Learning

A 2019 study by the National Institute of Standards and Technology confirmed that facial recognition algorithms are up to 100 times more likely to misidentify Black and Asian faces. This alarming statistic serves as a cornerstone for current discussions regarding the ethical deployment of smart

Decentralized machine learning requires a physical foundation that can deliver high performance with minimal power consumption, a challenge currently addressed by the development of tailored CMOS hardware. As the EFX—Expo for Electronics Manufacturing unfolds at the Stuttgart exhibition center from

The failure of early smart eyewear prototypes often stemmed from a lack of daily utility combined with designs that ignored established social and aesthetic norms. Historically, the eyewear industry operated with a quiet consistency compared to volatile consumer electronics sectors, yet as of 2026,

Data from The Joint Commission in 2022 revealed high rates of noncompliance with disinfection standards, prompting the creation of a definitive roadmap for facility compliance. This critical finding served as a wake-up call for the healthcare industry, highlighting the latent risks in a department

Operating 16 hours a day with 99% uptime, Maven’s robotic systems are designed to reach the back of a 48-inch pallet or high storage shelves without losing stability. This performance profile addresses a critical bottleneck in the global supply chain: the widening chasm between surging

Precision machining facilities are adopting AI solutions to maintain their margins and ensure that pricing for complex parts remains accurate and competitive. The recent infusion of $20 million in capital, led by Nimble Ventures with backing from Lockheed Martin’s LM Ventures and others, signals a