FII Priority Miami concluded its three-day summit with a series of discussions on global investment trends, economic volatility, and emerging growth sectors, alongside appearances by former US President Donald J. Trump and football legend Ronaldo Luís Nazário de Lima. FII stands for Future Investment Initiative. It is a global nonprofit focused on “Impact on Humanity”, […]
Nature Robots, a technology company founded in Osnabrück in 2022 and a spin-off of the German Research Center for Artificial Intelligence (DFKI), has closed a seed financing round totaling €4 million. Participants in the round include Climentum Capital, Bayern Kapital, and Planetary Impact Ventures. With the fresh capital, the company is scaling its modular autonomy […]
Manufacturers in 2026 face a clear problem. Finding obsolete PLC parts is slow, expensive, and uncertain. What used to be a sourcing issue is now an operational risk. Even a minor PLC failure can stop production. Delays now impact output, timelines, and revenue. Why Obsolete PLC Parts Are Hard to Find PLC systems still run […]
AI’s growing energy use sounds alarming, but its global climate impact may be far smaller than expected. Researchers found that while AI consumes huge amounts of electricity, it barely moves the needle on overall emissions. The real impact is more localized, especially around data centers. Meanwhile, AI could become a powerful tool for building greener technologies.
New findings challenge the widespread belief that AI is an environmental villain. By analyzing U.S. economic data and AI usage across industries, researchers discovered that AI’s energy consumption—while significant locally—barely registers at national or global scales. Even more surprising, AI could help accelerate green technologies rather than hinder them.
Scientists at Mount Sinai have created an artificial intelligence system that can predict how likely rare genetic mutations are to actually cause disease. By combining machine learning with millions of electronic health records and routine lab tests like cholesterol or kidney function, the system produces "ML penetrance" scores that place genetic risk on a spectrum rather than a simple yes/no. Some variants once thought dangerous showed little real-world impact, while others previously labeled uncertain revealed strong disease links.