**英特尔推出全球最大神经拟态系统：超越人脑速度达两倍**
近日，美国芯片巨头英特尔宣布了一项重大突破，推出全球最大神经拟态系统——Hala Point。这一创新旨在支持未来的类脑人工智能研究并解决当前人工智能在效率和可持续性方面的挑战。
据悉，Hala Point系统内置了基于Intel 4（7nm）制程技术的多达1152个Loihi 2处理器。这一创新设计使得系统能够支持高达11.5亿个神经元和惊人的1280亿个突触。其计算能力令人瞩目，每秒可以处理超过380万亿个8位突触操作和超过240万亿个神经元操作。这套系统首次部署在美国桑迪亚国家实验室。
更值得一提的是，在仿生尖峰神经网络模型测试中，Hala Point展示了惊人的性能：在运行神经元数量较低的情况下，其速度可比人脑快200倍（即高达20000%的提升）。这一突破预示着人工智能领域的新时代，可能会为未来的人工智能技术带来革命性的进步。
行业专家对此表示高度赞赏，并期待这一技术能在未来的人工智能技术革新、数据处理速度以及智能算法等领域带来深远影响。英特尔此次的突破无疑为未来的人工智能发展铺设了坚实的基石。
英语如下：
News Title: Intel Launches Super Neuro-inspired System: Brain-like AI Exceeds Human Brain Speed by 200 Times
Keywords: Intel, Neuro-inspired System, AI Breakthrough
News Content: **Intel Unveils the World’s largest Neuro-inspired System: Exceeding Human Brain Speed by 20 Times**
Recently, US chip giant Intel announced a major breakthrough, launching the world’s largest neuro-inspired system, “Hala Point”. This innovation aims to support future brain-like artificial intelligence research and address current challenges in AI efficiency and sustainability.
It is reported that the Hala Point system is equipped with up to 1152 Loihi 2 processors based on Intel 4 (7nm) process technology. This innovative design enables the system to support up to 1.15 billion neurons and an astonishing 128 billion synapses. Its computational capabilities are impressive, processing over 380 trillion 8-bit synapse operations and over 240 trillion neuronal operations per second. The system was first deployed at the Sandia National Laboratory in the United States.
Even more noteworthy is that in bionic spiking neural network model tests, Hala Point demonstrated amazing performance: at lower neuron counts, its speed can be 200 times faster than the human brain (i.e., an improvement of up to 20,000%). This breakthrough预示着人工智能领域的新时代，并有望为未来的AI技术带来革命性的进步。
Industry experts highly commend this and expect this technology to have a profound impact on future AI technology innovation, data processing speed, and intelligent algorithms. Intel’s breakthrough has undoubtedly laid a solid foundation for future AI development.
【来源】https://www.tmtpost.com/7044204.html
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