Processors

SiMa.ai to Accelerate Edge AI Adoption with Cisco for Industry 4.0

SiMa.ai’s Modalix AI Platform Now Compatible With Cisco’s Industrial Ethernet Switches, Delivers Real-Time AI at the Industrial Edge San Jose, CA – July 16, 2025 – SiMa.ai, a leading provider of Machine Learning System on a Chip™ (MLSoC silicon and the Palette™ software platform, today announced a go-to-market collaboration with Cisco to bring artificial intelligence […]

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Autonomous Driving Software and AI in Automotive 2026-2046: Technologies, Markets, Players

For more information, visit https://www.idtechex.com/en/research-report/autonomous-driving-software-and-ai-in-automotive/1111. The global autonomous driving software market in 2046 will be greater than US$130 billion This report provides an analysis of the software market for ADAS and autonomous driving software. Topic coverage includes business models, hardware, and software paradigms and trends developing in the market for ADAS and autonomous driving. IDTechEx

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Improving Synthetic Data Augmentation and Human Action Recognition with SynthDa

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Human action recognition is a capability in AI systems designed for safety-critical applications, such as surveillance, eldercare, and industrial monitoring. However, many real-world datasets are limited by data imbalance, privacy constraints, or insufficient coverage of rare but

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Micron Demonstration of Its Key Partner Enablement, Driving Solutions for AI and VLMs at the Edge

Wil Florentino, Senior Strategic Marketing Manager for Industrial at Micron, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Florentino demonstrates examples of its extensive partnerships and customers enabling artificial intelligence (AI) for the global market. Florentino showcases two specific demos with different use cases. The

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Lattice Semiconductor Demonstration of NVIDIA Holoscan-compatible Cameras from Valued Partners

Jacob Mercado, Applications Engineer at Lattice Semiconductor, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Mercado demonstrates Holoscan camera solutions from ecosystem partner vendors Leopard Imaging and e-con Systems, designed with Lattice FPGAs for use with NVIDIA Orin AGX or IGX platforms. Holoscan is enabled

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Lattice Semiconductor Demonstration of Random Bin Picking Based on Structured-Light 3D Scanning

Mark Hoopes, Senior Director of Industrial and Automotive at Lattice Semiconductor, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Hoopes demonstrates how Lattice FPGAs increase performance, reduce latency and jitter, and reduce overall power for a random bin picking robot. The Lattice FPGA offloads the

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Upcoming Tech Talk Explores How to Solve Tomorrow’s AI Problems Today with Edge Co-processors

Next Tuesday, July 15, 2025 at 8:00 am PT (11:00 am ET), Alliance Member company Cadence will deliver the free tech talk “Solving Tomorrow’s AI Problems Today with Cadence’s Newest Processor.” From the event page: The AI industry is undergoing a profound transformation, with evolving workloads demanding processors that deliver unparalleled efficiency, flexibility, and performance.

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Andes Technology’s AutoOpTune Applies Genetic Algorithms to Accelerate RISC-V Software Optimization

Andes AutoOpTune™ v1.0 accelerates software development by giving software developers the ability to automatically explore and choose the compiler optimizations to achieve their performance and code-size targets. Hsinchu, Taiwan – July 10, 2025 – Andes Technology, a leading provider of high-efficiency, low-power 32/64-bit RISC-V processor cores and a Founding Premier member of RISC-V International, today

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Optimizing Your AI Model for the Edge

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Key takeaways: We talk about five techniques—compiling to machine code, quantization, weight pruning, domain-specific fine-tuning, and training small models with larger models—that can be used to improve on-device AI model performance. Whether you think edge AI is

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Cadence Demonstration of Waveguide 4D Radar Central Computing on a Tensilica Vision DSP-based Platform

Sriram Kalluri, Product Marketing Manager for Cadence Tensilica DSPs, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Kalluri demonstrates the use of the Tensilica Vision 130 (P6) DSP for advanced 4D radar computing for perception sensing used in ADAS applications. The Vision 130 DSP is

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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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Phone: +1 (925) 954-1411
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