人工智能芯片的发展进程展望

Artificial Intelligence Chips:Past,Present and Future

了解人工智能AI技术的起源,AI的发展历程,通过高级驾驶员辅助系统(ADAS)和自动驾驶汽车的案例,分析了AI芯片目前的发展状态,以及如何让AI芯片真正改变我们的日常生活。让我们从AI的历史开始讲起,随着AI的发展,更专业化的技术出现了,即所谓的机器学习,它依靠经验学习而不是编程来做决策。反过来,机器学习也为后来的深度学习奠定了基础。深度学习涉及分层算法,目的是为了更好地理解数据。

To understand the origins of the AI technology, this paper chronicles how we got here. It also examines the state of AI chips and what they need to make a real impact on our daily lives by enabling advanced driver assistance systems （ADAS） and autonomous cars. Let＇s start at the beginning of AI＇s history. As artificial intelligence evolved, it led to more specialized technologies, referred to as Machine Learning, which relied on experiential learning rather than programming to make decisions. Machine learning, in turn, laid the foundations for what became deep learning, which involves layering algorithms in an effort to gain a greater understanding of the data.