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中国科学院高精度光计算研究取得进展
Huan Qiu Wang Zi Xun· 2026-01-11 04:13
来源:环球网 【环球网科技综合报道】1月11日消息,据《先进光子学》(Advanced Photonics)报道,在人工智能神 经网络高速发展的背景下,大规模的矩阵运算与频繁的数据迭代给传统电子处理器带来了巨大压力。光 电混合计算通过光学处理与电学处理的协同集成,展现出显著的计算性能,然而实际应用受限于训练与 推理环节分离、离线权重更新等问题,造成信息熵劣化、计算精度下降,导致推理准确度低。 中国科学院半导体研究所提出了一种基于相位像素阵列的可编程光学处理单元(OPU),并结合李雅普 诺夫稳定性理论实现了对OPU的灵活编程。在此基础上,团队构建了一种端到端闭环光电混合计算架构 (ECA),通过硬件—算法协同设计,实现了训练与推理的全流程闭环优化,有效补偿了信息熵损失, 打破了光计算中计算精度与准确度之间的强耦合关系。 该架构通过噪声自学习机制,实现了光学与电学参数联合优化与自适应计算精度补偿。实验结果表明, 采用4-bit的OPU时,ECA在MNIST手写数字识别任务(计算机视觉领域的经典任务)上的推理准确率达 到90.8%,接近8-bit传统计算架构(TCA)的理论极限(90.9%),这表明光计算系统在低硬 ...
2025国际十大科技新闻解读
Ke Ji Ri Bao· 2025-12-25 01:00
Group 1: AI Developments - DeepSeek's open-source model DeepSeek-R1 utilizes pure reinforcement learning, significantly reducing the dependency on labeled data while achieving top performance under limited computational power [2] - A new brain-computer interface developed by the University of Texas at Austin can decode thoughts into continuous text in about one hour, showcasing a significant leap in efficiency and applicability [3] - AI has been used to design complex serine hydrolases from scratch, marking a key advancement in computational biology and understanding life’s catalytic mechanisms [4][5] Group 2: Quantum Computing - Google achieved a significant breakthrough in quantum computing by demonstrating verifiable quantum advantage with its "Willow" quantum processor, completing a task 13,000 times faster than classical supercomputers [10][11] Group 3: Astronomy and Space Exploration - The Vera C. Rubin Observatory released its first test images, showcasing its capability to capture millions of distant stars and galaxies, marking a transformative step in astronomical observation [7] Group 4: Robotics in Medicine - A new intelligent robot successfully performed a complete gallbladder removal surgery autonomously, demonstrating a significant advancement in surgical robotics by integrating high precision with adaptive understanding [8][9] Group 5: Climate Change and Environmental Science - The Global Critical Points Report indicates that the world is approaching several catastrophic climate thresholds, with the first significant sign being the mass death of warm-water coral reefs due to temperature increases [13][14] Group 6: Neuroscience - A comprehensive cross-species mammalian brain cell development map was published, revealing critical insights into the development and function of brain cells, which could lead to better understanding and intervention for neurodevelopmental disorders [15][16]
DeepSeek-OCR实现光学压缩 光计算可为大模型“减负”
3 6 Ke· 2025-11-27 08:49
Group 1 - The core idea of the article revolves around the concept of optical compression of context using visual tokens to address the computational challenges faced by large language models as context window sizes increase [2][3] - DeepSeek's research demonstrates that visual compression can maintain high accuracy, achieving a compression rate of 10 times while retaining 96.5% precision [3][4] - The DeepEncoder module is identified as the key engine for achieving optical compression, utilizing components such as the SAM module, convolutional blocks, and CLIP to effectively compress data from 1000 text tokens to 100 visual tokens [5][7] Group 2 - Optical computing is highlighted as a more suitable solution for context compression due to its ability to handle the information aggregation processes inherent in ViT and CNN structures more efficiently than traditional electronic chips [7][9] - The advantages of optical computing include simplified computation processes and scalability, allowing for enhanced parallelism and dynamic programmability, which are crucial for long text reasoning tasks [9][11] - Future plans involve exploring algorithms based on human memory mechanisms and developing specialized hardware for context compression and AI tasks, aiming to connect optical computing with large models [13][15] Group 3 - The article emphasizes the need for optical computing to overcome the limitations of traditional GPUs, particularly in terms of memory constraints and power density, as large models become more prevalent [15] - The company aims to build a next-generation disruptive platform system for large-scale AI computing, providing comprehensive optical computing solutions across various scenarios [15]