This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm A day with Qualcomm revealed the innovations empowering new and exciting AI experiences running within devices In the rapidly evolving world of artificial intelligence (AI), staying ahead of the curve is crucial. As a leader in on-device […]
This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. Autonomous driving (AD) and advanced driver assistance system (ADAS) providers are deploying more and more AI neural networks (NNs) to offer human-like driving experience. Several of the leading AD innovators have either deployed, or have a roadmap
Accelerating Transformer Neural Networks for Autonomous Driving Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Traditional video analytics applications and their development workflow are typically built on fixed-function, limited models that are designed to detect and identify only a select set of predefined objects. With generative AI, NVIDIA NIM microservices, and foundation
Build VLM-powered Visual AI Agents Using NVIDIA NIM and NVIDIA VIA Microservices Read More +
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm Find out how LLM quantization solves the challenges of making AI work on device In the rapidly evolving world of artificial intelligence (AI), the growth of large language models (LLMs) has been nothing short of astounding. These
Quantization: Unlocking Scalability for Large Language Models Read More +
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. In this blog, we will uncover the current medical and life sciences use cases in which Ethernet cameras are integral. The pace of technological transformations in medicine and life sciences is rapid. Imaging technologies used
Why Ethernet Cameras are Increasingly Used in Medical and Life Sciences Applications Read More +
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
Steering a Revolution: Optimized Automated Driving with Heterogeneous Compute Read More +
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
Develop Generative AI-powered Visual AI Agents for the Edge Read More +
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
What’s Next in On-device Generative AI? Read More +
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. As embedded vision systems keep taking quantum leaps to become more innovative and intuitive, it’s becoming more complex to address the specifications for resolution and frame rate. As you may know, conventionally, applications used in
Why High Frame Rate Cameras are Important, and What Applications Need Them Read More +
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
Mission NIMpossible: Decoding the Microservices That Accelerate Generative AI Read More +
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