机器人不再“慢半拍”!千诀科技神经科学启发的新算法,让AI思考速度翻倍
机器人大讲堂·2025-11-26 10:42

Core Viewpoint - The article discusses a breakthrough technology called "Adaptive Fission" developed by Qianjue Technology, which significantly enhances the speed and efficiency of robots by mimicking the collaborative functioning of neurons in the human brain [1][8]. Group 1: Why Robots Are Slow - Robots' "brains" operate differently from human brains, leading to slower responses and actions [3]. - Traditional AI models process information step-by-step, resulting in slower decision-making, while brain-like models require multiple iterations for high accuracy, which also slows them down [5][6]. Group 2: Inspiration from the Brain - The human brain achieves quick and precise processing by having neurons work in teams, collaborating to handle complex information efficiently [7]. - Qianjue Technology's "Adaptive Fission" allows key neurons in AI models to split into smaller "assistants," forming an efficient team to process information [8]. Group 3: Three Disruptive Changes from the Technology - The technology ends the era of sacrificing speed for accuracy by dynamically allocating high precision to important tasks and low precision to simpler ones, achieving both speed and intelligence [9]. - It enables "millisecond-level decision-making," drastically reducing the time required for robots to make decisions [10][11]. - The technology is "plug-and-play," allowing already trained robot models to implement this technology without extensive retraining, which is beneficial for the rapidly evolving robotics industry [12][13][14]. Group 4: Performance Metrics - Increasing the number of neurons by 20% can double the reasoning speed, while an 80% increase can quadruple it [15]. Group 5: Future Implications - The breakthrough signifies the arrival of a robot era capable of real-time perception and instant decision-making [17]. - The technology maximizes the potential of existing hardware, suggesting a new era of collaboration between software algorithms and hardware capabilities [18].