Dynamic Node Pruning: Improving LLM Efficiency Inspired by the Human Brain As artificial intelligence continues to scale, large language models (LLMs) face mounting challenges in computational cost and energy usage. But what if these models could intelligently activate only ... AI efficiency deep learning dynamic pruning LLM model optimization neural networks sustainability
Vision-Based Learning Is Giving Robots a Sense of Self What if a we could program a machine that figures out how its body works the same way a child learns to wiggle their fingers, by observing and experimenting. This is the concept behind the Neural Jaco... autonomous systems computer vision machine learning neural networks robotics self-awareness soft robotics
Machine Learning Reveals the Hidden Complexity of Games Have you ever wondered why some things feel easy to master while others seem endlessly perplexing? Recent research in machine learning is shedding light on this puzzle, uncovering the hidden layers th... behavioral economics complexity decision-making game theory human behavior machine learning neural networks
Demystifying AI: Open-Source Circuit Tracing Tools Illuminate Neural Networks Artificial intelligence has made remarkable strides, but understanding how models arrive at their answers remains a daunting challenge. Anthropic’s new open-source circuit tracing tools promise to bri... AI research AI transparency attribution graphs circuit tracing interpretability language models neural networks open source