Killing AI’s Energy Hog

AI is exploding — and so is its appetite for energy. Today’s models burn through gigawatts, while your brain runs on just 20 watts, less than my laptop. How does the brain pull off this miracle of efficiency? And can we use those same principles to stop the AI energy monster? In this video, we’ll reveal the brain’s secret — a graph-based way of storing and searching knowledge — and why it might be the key to building AI that’s smarter and greener. ________________________________________ Useful links: The Future AI Society: https://futureaisociety.org Discord: https://discord.gg/Fn9RyYgQ The Brain Simulator III (UKS) project: https://github.com/FutureAIGuru/BrainSimIII The Brain Simulator II (Neural Simulator) project: https://github.com/FutureAIGuru/BrainSimII ________________________________________ The Future AI Society is a member community dedicated to adding Alternative AI approaches including Spiking Neural Networks and Enhanced Graph-based. The Society’s open source software includes the Brain Simulator II neural simulator and the Brain Simulator III graph-based system featuring the “Universal Knowledge Store” (UKS) which can create connections on its own between different types of real-world information (sight, sound, and touch). This represents the next generation of software beyond today’s machine learning, generative AI, and knowledge systems. Founder Charles J. Simon, BSEE, MSCS, is a nationally recognized entrepreneur, software developer and manager. With a broad management and technical expertise and degrees in both Electrical Engineering and Computer Science, Mr. Simon has many years of computer experience in industry including pioneering work on numerous neurological test system.