In a groundbreaking advancement, Chinese scientists have introduced Speck, a new low-power \"brain-inspired\" artificial intelligence (AI) chip that promises to redefine energy efficiency in computing.
Developed through a collaborative effort led by the Chinese Academy of Sciences (CAS), Speck is a neuromorphic chip that integrates a dynamic visual sensor and a neuromorphic processor onto a single chip. This innovative design enables dynamic computing capabilities while maintaining remarkably low resting power consumption.
According to Li Guoqi, a researcher at the Institute of Automation of CAS, Speck consumes only 0.7 milliwatts when handling visual tasks. This exceptional energy efficiency makes Speck a promising solution for AI applications that require both low power consumption and high responsiveness.
The development of Speck marks a significant step forward in AI technology, particularly for applications in wearable devices, autonomous systems, and other areas where energy conservation is paramount. With its brain-inspired architecture, Speck is set to enhance the performance and sustainability of future AI-driven innovations.
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Chinese scientists unveil energy-efficient 'brain-inspired' AI chip
cgtn.com
