Processors

Inuitive Demonstration of On-camera SLAM, Depth and AI Using a NU4X00-based Sensor Module

Shay Harel, Field Application Engineer at Inuitive, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Harel demonstrates one of several examples his company presented at the Summit, highlighting the capabilities of its latest vision-on-chip technology. In this demo, the NU4X00 processor performs depth sensing, object […]

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SiMa.ai Raises $85M to Scale Physical AI, Bringing Total Funding to $355M

Maverick Capital Led the Oversubscribed Round with StepStone Group Joining as a New Investor SAN JOSE, Calif., August 1, 2025 – SiMa.ai, a pioneer in delivering purpose-built hardware and software solutions for Physical AI, today announced it has raised $85 million in an oversubscribed round, bringing total capital raised to $355 million. The latest round

SiMa.ai Raises $85M to Scale Physical AI, Bringing Total Funding to $355M Read More +

STMicroelectronics Demonstration of Real-time Object Detection and Tracking

Therese Mbock, Product Marketing Engineer at STMicroelectronics, and Sylvain Bernard, Founder and Solutions Architect at Siana Systems, demonstration the companies’ latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Mbock and Bernard demonstrate using STMicroelectronics’ VD66GY and STM32N6 for real-time object tracking, ideal for surveillance and automation.

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Dense TOPS vs. Sparse TOPS: What’s the Difference?

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Not all TOPS are created equal — let’s demystify how TOPS measurement can reflect AI performance What you should know: While TOPS is a useful metric to evaluate the performance of neural processing units, it can be

Dense TOPS vs. Sparse TOPS: What’s the Difference? Read More +

STMicroelectronics Demonstration of Real-time Multi-pose Detection

Therese Mbock, Product Marketing Engineer at STMicroelectronics, and Sylvain Bernard, Founder and Solutions Architect at Siana Systems, demonstration the companies’ latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Mbock and Bernard demonstrate using STMicroelectronics’ VD55G1 and STM32N6 to detect real-time human poses, ideal for fitness, gestures, and gaming.

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SiMa.ai Expands Strategic Collaboration with Synopsys to Accelerate Automotive AI Innovation

Transforming ADAS and In-Vehicle Infotainment Breakthroughs with Innovative ML IP, Chiplets, and System-on-Chip Reference Architectures SAN JOSE, Calif., July 30, 2025 /PRNewswire/ — SiMa.ai, a pioneer in ultra-efficient machine learning system-on-chip (MLSoC) platform, today announced the next phase of their strategic collaboration with Synopsys, the leading provider of engineering solutions from silicon to systems, to

SiMa.ai Expands Strategic Collaboration with Synopsys to Accelerate Automotive AI Innovation Read More +

Nextchip Demonstration of a High Definition Analog Video Solution Using STELLA5

Jonathan Lee, Manager of the Global Strategy Team at Nextchip, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Lee demonstrates a high definition analog video solution using his company’s STELLA5 module. Lee showcases how Nextchip’s proprietary AHD (Analog HD) technology offers a more cost-efficient and

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SiMa.ai and Macnica TecStar Company Announce Strategic Distribution Agreement to Accelerate Physical AI Adoption in Japan

SAN JOSE, Calif. and YOKOHAMA, Japan, July 29, 2025 /PRNewswire/ — SiMa.ai, the machine learning company delivering the industry’s first purpose-built software-centric MLSoC™ platform for the embedded edge, today announced a distribution partnership with Macnica, Inc. TecStar Company, one of Japan’s leading technology solutions providers. The partnership will accelerate adoption of SiMa.ai’s high-performance, low-power physical

SiMa.ai and Macnica TecStar Company Announce Strategic Distribution Agreement to Accelerate Physical AI Adoption in Japan Read More +

Renesas Introduces 64-bit RZ/G3E MPU for High-performance HMI Systems Requiring AI Acceleration and Edge Computing

MPU Integrates a Quad-Core CPU, an NPU, High-Speed Connectivity and Advanced Graphics to Power Next-Generation HMI Devices with Full HD Display TOKYO, Japan, July 29, 2025 ― Renesas Electronics Corporation (TSE:6723), a premier supplier of advanced semiconductor solutions, today announced the launch of its new 64-bit RZ/G3E microprocessor (MPU), a general-purpose device optimized for high-performance Human Machine

Renesas Introduces 64-bit RZ/G3E MPU for High-performance HMI Systems Requiring AI Acceleration and Edge Computing Read More +

How to Run Coding Assistants for Free on RTX AI PCs and Workstations

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. AI-powered copilots deliver real-time assistance for projects from academic projects to production code — and are optimized for RTX AI PCs. Coding assistants or copilots — AI-powered assistants that can suggest, explain and debug code — are

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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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