September 2, 2008
Loss of Innocence
Modeling Analog Systems as Analog
featured blogs
Nov 22, 2024
We're providing every session and keynote from Works With 2024 on-demand. It's the only place wireless IoT developers can access hands-on training for free....
Nov 22, 2024
I just saw a video on YouTube'it's a few very funny minutes from a show by an engineer who transitioned into being a comedian...
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
STM32 Security for IoT
Sponsored by Mouser Electronics and STMicroelectronics
Today’s modern embedded systems face a range of security risks that can stem from a variety of different sources including insecure communication protocols, hardware vulnerabilities, and physical tampering. In this episode of Chalk Talk, Amelia Dalton and Thierry Crespo from STMicroelectronics explore the biggest security challenges facing embedded designers today, the benefits of the STM32 Trust platform, and why the STM32Trust TEE Secure Manager is an IoT security game changer.