TECHNOLOGIES

NVIDIA and Synopsys Announce Strategic Partnership to Revolutionize Engineering and Design

Key Highlights Multiyear collaboration spans NVIDIA CUDA accelerated computing, agentic and physical AI, and Omniverse digital twins to achieve simulation speed and scale previously unattainable through traditional CPU computing — opening new market opportunities across engineering. To further adoption of GPU-accelerated engineering solutions, the companies will collaborate in engineering and marketing activities. NVIDIA invested $2 […]

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Now Available: AMD Spartan UltraScale+ FPGA SCU35 Evaluation Kit–An Affordable Platform for Every Developer

November 25, 2025 The AMD Spartan™ UltraScale+™ FPGA SCU35 Evaluation Kit is now available for order. Built by AMD, this platform offers customers an accelerated path to production with Spartan UltraScale+ FPGAs. The kit features the Spartan UltraScale+ SU35P device that offers I/O expansion and board management capabilities. It also brings several new advances to

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The 8-Series Reimagined: Snapdragon 8 Gen 5 Delivers Premium Performance and Experiences

San Diego, California November 25, 2025 — Qualcomm Technologies, Inc. today announced the Snapdragon® 8 Gen 5 Mobile Platform, a premium offering that combines outstanding performance with cutting-edge technologies, raising the bar for flagship mobile experiences. Key Takeaways: The Snapdragon 8-series continues to expand premium smartphone technologies, fueling many of the world’s leading flagship devices,

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Microcontrollers Enter a New Growth Cycle as the Market Targets US$34 Billion in 2030

This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. Yole Group releases its annual Status of the Microcontroller Industry report and expands its quarterly Microcontroller Market Monitor, delivering long-range strategic insights and detailed market tracking   Key Takeaways: The global MCU market

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Why Edge AI Struggles Towards Production: The Deployment Problem

There is no shortage of articles about how to develop and train Edge AI models. The community has also written extensively about why it makes sense to run those models at the edge: to reduce latency, preserve privacy, and lower data-transfer costs. On top of that, the MLOps ecosystem has matured quickly, providing the pipelines

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Nota AI Signs Technology Collaboration Agreement with Samsung Electronics for Exynos AI Optimization “Driving the Popularization of On-Device Generative AI”

Nota AI’s optimization technology integrated into Samsung Electronics’ Exynos AI Studio, enhancing efficiency in on-device AI model development   Seoul, South Korea Nov.26, 2025 — Nota AI, a company specializing in AI model compression and optimization, announced today that it has signed a collaboration agreement with Samsung Electronics’ System LSI Business to provide its AI

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WAVE-N v2: Chips&Media’s Custom NPU Retains 16-bit FP for Superior Efficiency at High TOPS

Nov 26, 2025 Seoul, South Korea — Chips&Media is announcing that the next-generation customized NPU, WAVE-N v2, is ready for release, delivering higher computational power along with improved area and power efficiency. WAVE-N v2 is also designed to support a wider range of applications, such as object detection and segmentation, in addition to visual quality enhancement

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Google Announces LiteRT Qualcomm AI Engine Direct Accelerator

Google has announced a new LiteRT Qualcomm AI Engine Direct Accelerator, giving Android and embedded developers a much more direct path to Qualcomm NPUs for on-device AI and vision workloads. Built on top of Qualcomm’s AI Engine Direct (“QNN”) SDK, the new accelerator replaces the older TensorFlow Lite QNN delegate and plugs directly into LiteRT,

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Small Models, Big Heat — Conquering Korean ASR with Low-bit Whisper

This blog post was originally published at ENERZAi’s website. It is reprinted here with the permission of ENERZAi. Today, we’ll share results where we re-trained the original Whisper for optimal Korean ASR(Automatic Speech Recognition), applied Post-Training Quantization (PTQ), and provided a richer Pareto analysis so customers with different constraints and requirements can pick exactly what

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

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