Software

Steering a Revolution: Optimized Automated Driving with Heterogeneous Compute

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm Qualcomm Technologies’ latest whitepaper navigates the advantages of Snapdragon Ride Solutions based on heterogeneous compute SoCs. As the automotive industry continues to progress toward automated driving, advanced driver assistance systems (ADAS) are in high demand. These systems […]

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Develop Generative AI-powered Visual AI Agents for the Edge

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. An exciting breakthrough in AI technology—Vision Language Models (VLMs)—offers a more dynamic and flexible method for video analysis. VLMs enable users to interact with image and video input using natural language, making the technology more accessible and

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DEEPX Demonstration of Its DX-M1 AIoT Booster

Taisik Won, the President of DEEPX USA, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Won demonstrates the company’s AIoT Booster, the DX-M1. The DX-M1 is DEEPX’s flagship AI chip, meticulously engineered for seamless integration into any AIoT application. This cutting-edge chip can simultaneously process

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DEEPX Demonstration of Its DX-V1 and DX-V3 AI Vision Processors

Aiden Song, PR Manager at DEEPX, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Song demonstrates the company’s DX-V1 and DX-V3 AI vision processors. The DX-V1 and DX-V3 are AI enabler chips for vision systems. The DX-V1 is a standalone edge AI chip that can

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What’s Next in On-device Generative AI?

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Upcoming generative AI trends and Qualcomm Technologies’ role in enabling the next wave of innovation on-device The generative artificial intelligence (AI) era has begun. Generative AI innovations continue at a rapid pace and are being woven into

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DEEPX Demonstration of Its DX-H1 Green AI Computing Card

Aiden Song, PR Manager at DEEPX, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Song demonstrates the company’s latest innovation, the DX-H1 Green AI Computing Card. The DX-H1 is designed for eco-friendly data centers, delivering 10 times better power and cost efficiency than GPGPU solutions.

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Cadence Demonstration of a Large Vision Model for Generative AI on the Tensilica Vision P6 DSP

Amol Borkar, Director of Product Marketing for Cadence Tensilica DSPs and Automotive Segment Director, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Borkar demonstrates the use of a Tensilica Vision P6 DSP for the latest generative AI (GenAI) applications. The Vision P6 DSP is a

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Cadence Demonstration of Time-of-Flight Decoding on the Tensilica Vision Q7 DSP

Amol Borkar, Director of Product Marketing for Cadence Tensilica DSPs and Automotive Segment Director, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Borkar demonstrates the use of a Tensilica Vision Q7 DSP for Time-of-Flight (ToF) decoding. In this demonstration, the Tensilica Vision Q7 DSP integrated

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Cadence Demonstration of an Imaging Radar Applications on the Tensilica ConnX B10 DSP

Amol Borkar, Director of Product Marketing for Cadence Tensilica DSPs and Automotive Segment Director, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Borkar demonstrates the use of a Tensilica ConnX B10 DSP for automotive imaging radar applications. The ConnX B10 DSP is a highly efficient,

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Mission NIMpossible: Decoding the Microservices That Accelerate Generative AI

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Run generative AI NVIDIA NIM microservices locally on NVIDIA RTX AI workstations and NVIDIA GeForce RTX systems. Editor’s note: This post is part of the AI Decoded series, which demystifies AI by making the technology more accessible

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