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3D ‘microbatteries’ that could power ultra-low energy wearables

Fitness trackers, smartwatches, clever earpieces and other incredible wearables are the first wave in a new era in electronics. Most are hamstrung by limited battery power, so the next wave – an army of tiny sensors that autonomously transfer data to other devices, better known as the Internet of Things (IoT) – will rely on a revolution in battery technology. Cue 3D microbatteries. Read more at TechRadar

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featured blogs
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Most design teams use the schematic-driven connectivity-aware environment of Virtuoso Layout XL. However, due to the reuse of legacy designs, third-party tools, and the flexibility of the Virtuoso platform, a design can lose binding and connectivity. Despite the layout being ...
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See how we're harnessing generative AI throughout our suite of EDA tools with Synopsys.AI Copilot, the world's first GenAI capability for chip design.The post Meet Synopsys.ai Copilot, Industry's First GenAI Capability for Chip Design appeared first on Chip Design....
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Suffice it to say that everyone and everything in these images was shot in-camera underwater, and that the results truly are haunting....

featured video

TDK CLT32 power inductors for ADAS and AD power management

Sponsored by TDK

Review the top 3 FAQs (Frequently Asked Questions) regarding TDK’s CLT32 power inductors. Learn why these tiny power inductors address the most demanding reliability challenges of ADAS and AD power management.

Click here for more information

featured paper

Power and Performance Analysis of FIR Filters and FFTs on Intel Agilex® 7 FPGAs

Sponsored by Intel

Learn about the Future of Intel Programmable Solutions Group at intel.com/leap. The power and performance efficiency of digital signal processing (DSP) workloads play a significant role in the evolution of modern-day technology. Compare benchmarks of finite impulse response (FIR) filters and fast Fourier transform (FFT) designs on Intel Agilex® 7 FPGAs to publicly available results from AMD’s Versal* FPGAs and artificial intelligence engines. Also join us for a webinar on the future of the Programmable Solution Group.

Register now: intel.com/leap

featured chalk talk

IoT Data Analysis at the Edge
No longer is machine learning a niche application for electronic engineering. Machine learning is leading a transformative revolution in a variety of electronic designs but implementing machine learning can be a tricky task to complete. In this episode of Chalk Talk, Amelia Dalton and Louis Gobin from STMicroelectronics investigate how STMicroelectronics is helping embedded developers design edge AI solutions. They take a closer look at the benefits of STMicroelectronics NanoEdge-AI® Studio and  STM32Cube.AI and how you can take advantage of them in your next design. 
Jun 28, 2023
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