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Architectural Considerations for Compute-in-Memory in AI Inference
Can Compute-in-Memory (CIM) bring new benefits to AI (Artificial Intelligence) inference? CIM is not an AI solution; rather, it is a memory management solution. CIM could bring advantages to AI processing by speeding up the multiplication operation at the heart of AI model execution.
The Road Ahead for SoCs in Self-Driving Vehicles
Automakers have relied on a human driver behind the wheel for more than a century. With Level 3 systems in place, the road ahead leads to full autonomy and Level 5 self-driving. However, it’s going to be a long climb. Much of the technology that got the industry to Level 3 will not scale in all the needed dimensions—performance, memory usage, interconnect, chip area, and power consumption.
艾伯德重新定义边缘的 AI 加速
作者：The Linley Group 首席分析师 Linley Gwennap
艾伯德是一家有大创意的小公司。公司并未选择优化常用的 AI 技术，而是从头开始重新研究神经网络加速，以创造一种独特的方法，在保持一致的功耗和芯片面积的同时，大幅提高性能。