AI chip design from the data center to the edge.
The explosive growth in silicon and software for artificial intelligence applications is transforming everything we know about connectivity, energy-efficiency, mobility, and security. Machine learning (ML) techniques are already used in computer vision, object recognition, speech recognition, and big data analytics. Deep learning (DL) algorithms and neural networks are pushing both silicon and software to meet new requirements for processing power, memory latency, and real-time connectivity.
To read more, click here.
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
Leave a Reply