<p>➀ AI正逐渐向边缘迁移,这是好事;</p><p>➁ 设计师必须为巨大的电力需求做好准备;</p><p>➂ 准备合适的硬件和策略以优化效率。</p>
Related Articles
- Energy-Efficient AI Accelerator For Edge Applications10 months ago
- Symposium on VLSI Technology & Circuits in Kyoto,5 months ago
- Smart and Compact Sensors with Edge-AI5 months ago
- Photonic Chips Boost Computing Speed5 months ago
- System-On-Module For Edge AI Computing5 months ago
- Powerful MCUs For Smart, Multi-Use AI5 months ago
- Ceva-XC21 and Ceva-XC23 DSPs: Advancing Wireless and Edge AI Processing5 months ago
- Neurons Cast in Silicon: The SENNA AI Chip Accelerates Spiking Neural Networks6 months ago
- YorChip announces Low latency 100G ULTRA Ethernet ready MAC/PCS IP for Edge AI7 months ago
- NXP buys Kinara7 months ago