Tag: Reference

Xilinx and Spline.AI Develop X-Ray Classification Deep-Learning Model and Reference Design on AWS

By iwano@_84

Adaptive model enables medical equipment makers and healthcare service providers to rapidly develop trained models for clinical and radiological applications

Xilinx, Inc. (NASDAQ: XLNX), the leader in adaptive and intelligent computing, today introduced a fully functional medical X-ray classification deep-learning model and a reference design kit, in association with Spline.AI on Amazon Web Services (AWS). The high-performance model is deployed on the Xilinx® Zynq® UltraScale+™ MPSoC device based ZCU104 and leverages the Xilinx deep learning processor unit (DPU), a soft-IP tensor accelerator, which is powerful enough to run a variety of neural networks, including classification and detection of diseases.

The collaboratively developed solution uses an open-source model, which runs on a Python programming platform on a Xilinx Zynq UltraScale+ MPSoC device, meaning it can be adapted by researchers to suit different application specific requirements. Medical diagnostic, clinical equipment makers and healthcare service providers can use the open-source design to rapidly

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Keysight Technologies and ROHM Semiconductor Enable Designers to Rapidly Modify SMPS Reference Design for SiC Power Devices

By iwano@_84

“Digital Twin” of ROHM Reference Design Enables “What if…” Design Space Exploration

Keysight Technologies, Inc. (NYSE: KEYS), a leading technology company that helps enterprises, service providers and governments accelerate innovation to connect and secure the world, and ROHM Semiconductor, a leading semiconductor company, jointly announce today a PathWave Advanced Design System (ADS)-compatible workspace that enables designers to perform pre-compliance testing on virtual prototypes of switched-mode power supply (SMPS) designs. This new capability saves time and cost by catching errors early in the design before they become a big problem.

Demand for SMPS is driven by the need for greater efficiency, increased power density and lower cost. Fast, low-loss switches made from silicon carbide (SiC) and related materials will power future applications due to the high performance and efficiency they enable. However, unwanted side effects from high-speed switching include voltage spikes (“ringing”). In addition, it is more difficult to meet conducted

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