In both data centers and automobiles deep learning is taking hold. But it is a technique that challenges conventional microprocessors, leading system designers to look at alternative architectures for acceleration.
A look at USB 3.1, which offers data rates of up to 10Gbit/s, and the way that the USB 3.1 protocol has changed to support this rate.
An analysis of what it takes to build true random number generators that can provide a strong cryptographic basis for systems security, especially for IoT devices.
Using triple modular redundancy, error detection and correction, and ‘safe’ FSMs to ensure greater functional safety in FPGA-based designs
- Expert Insight Laying the foundations of a more secure IoT
- Article Bit width tweaks point way to practical deep learning
- Article Implementing USB Type-C
- Expert Insight Neural networks bring advanced object detection to embedded vision
- Expert Insight Design reaches out from the edge
- Expert Insight The rush to open source tools
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