The Future is Modular

Embedded Design, FMCs and Compact PCs

by Amelia Dalton

Whether you’re designing a COTS embedded computer, a low power consumer device, or an FPGA mezzanine card enhanced project, this Fish Fry has a little something for you. This week’s episode is all about FMCs, compact PCs, the future of embedded design, and some seriously cool new battery technology. Richard Avry (4DSP) joins us to chat about why he believes the future is modular, and what open standards like FMC and VPX buy us as engineers. Doug Patterson (Aitech) and I discuss the role of compact PCs in low power embedded systems and the challenges of designing compute platforms for millitary and aerospace applications. Also this week, we check out how University of California Irvine is changing the face of battery technology – one nanowire at a time.

Download this episode (right click and save)

Links for May 6, 2016

More information about 4DSP

More information about Aitech

All powered up: UCI chemists create battery technology with off-the-charts charging capacity

100k Cycles and Beyond: Extraordinary Cycle Stability for MnO2 Nanowires Imparted by a Gel Electrolyte

Libby's Lab

Libby's Lab - Scopes Out Silicon Labs EFRxG22 Development Tools

Sponsored by Mouser Electronics and Silicon Labs

Join Libby in this episode of “Libby’s Lab” as she explores the Silicon Labs EFR32xG22 Development Tools, available at Mouser.com! These versatile tools are perfect for engineers developing wireless applications with Bluetooth®, Zigbee®, or proprietary protocols. Designed for energy efficiency and ease of use, the starter kit simplifies development for IoT, smart home, and industrial devices. From low-power IoT projects to fitness trackers and medical devices, these tools offer multi-protocol support, reliable performance, and hassle-free setup. Watch as Libby and Demo dive into how these tools can bring wireless projects to life. Keep your circuits charged and your ideas sparking!

Click here for more information about Silicon Labs xG22 Development Tools

Quantized Neural Networks for FPGA Inference

Sponsored 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.

Click to read more

featured chalk talk

Industrial Internet of Things

Sponsored by Mouser Electronics and CUI Inc.

In this episode of Chalk Talk, Amelia Dalton and Bruce Rose from CUI Inc explore power supply design concerns associated with IIoT applications. They investigate the roles that thermal conduction and convection play in these power supplies and the benefits that CUI Inc. power supplies bring to these kinds of designs.

Click here for more information about CUI Inc IIoT Enabling Power Supplies

Aug 16, 2024

50,906 views

The Future is Modular

Related