Imagine you’re baking a cake but you don’t have the recipe. Instead of giving up, you decide to study each ingredient and its properties. That’s exactly what scientists are doing to build artificial intelligence (AI) based on our understanding of the brain! They’re taking a bottom-up approach, analyzing the different features of neurons, synapses, and neural circuits to create a biologically plausible neural network. In this review, researchers discuss recent advances in this exciting field. They explore strategies like optimizing neural networks and incorporating their findings into AI. They even propose a way to categorize neural network classes based on their similarities to biological neural networks. This framework could help guide future research and bridge the gap between neuroscience and AI engineering. Want to learn more? Check out the full article!
Dr. David Lowemann
Dr. David Lowemann, M.Sc, Ph.D., is a co-founder of the Institute for the Future of Human Potential, where he leads the charge in pioneering Self-Enhancement Science for the Success of Society. With a keen interest in exploring the untapped potential of the human mind, Dr. Lowemann has dedicated his career to pushing the boundaries of human capabilities and understanding.Armed with a Master of Science degree and a Ph.D. in his field, Dr. Lowemann has consistently been at the forefront of research and innovation, delving into ways to optimize human performance, cognition, and overall well-being. His work at the Institute revolves around a profound commitment to harnessing cutting-edge science and technology to help individuals lead more fulfilling and intelligent lives.Dr. Lowemann's influence extends to the educational platform BetterSmarter.me, where he shares his insights, findings, and personal development strategies with a broader audience. His ongoing mission is shaping the way we perceive and leverage the vast capacities of the human mind, offering invaluable contributions to society's overall success and collective well-being.
