featured blogs
Nov 11, 2024
Silicon Labs partners with Eta Compute to empower product developers to easily integrate advanced ML capabilities into their edge ML embedded products....
Nov 13, 2024
Implementing the classic 'hand coming out of bowl' when you can see there's no one under the table is very tempting'¦...
featured paper
 Quantized Neural Networks for FPGA InferenceSponsored by Intel Implementing a low precision network in FPGA hardware for efficient inferencing provides numerous advantages when it comes to meeting demanding specifications. The increased flexibility allows optimization of throughput, overall power consumption, resource usage, device size, TOPs/watt, and deterministic latency. These are important benefits where scaling and efficiency are inherent requirements of the application. |
featured chalk talk
SiC-Based High-Density Industrial Charger Solutions
Sponsored by Mouser Electronics and onsemi
In this episode of Chalk Talk, Amelia Dalton and Prasad Paruchuri from onsemi explore the benefits of silicon carbide based high density industrial charging solutions. They investigate the topologies of Totem Pole PFC and Half Bridge LLC circuits, the challenges that bidirectional CLLC resonant DC-DC converters are solving today, and how you can take advantage of onsemi’s silicon carbide charging solutions for your next design.