This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. What you should know: The future of AI will be hybrid, with the cloud and the edge working together — each playing a vital role. The user interface (UI) is now human-centric — your device understands your […]
The Edge’s Essential Role in the Future of AI Read More +
Neil Trevett, President of the Khronos Group and Vice President of Developer Ecosystems at NVIDIA, presents the “Deploying Accelerated ML and AI: The Role of Khronos Open Standards” tutorial at the May 2025 Embedded Vision Summit. Accelerating machine learning and AI workloads often requires specialized hardware, but managing compatibility across… “Deploying Accelerated ML and AI:
Eric Danziger, CEO of Invisible AI, presents the “Scaling Computer Vision at the Edge” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Danziger introduces a comprehensive framework for scaling computer vision systems across three critical dimensions: capability evolution, infrastructure decisions and deployment scaling. Today’s leading-edge vision systems… “Scaling Computer Vision at the
“Scaling Computer Vision at the Edge,” a Presentation from Invisible AI Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA’s data factory team creates the foundation for AI models like Cosmos Reason, which today topped the physical reasoning leaderboard on Hugging Face. AI models are advancing at a rapid rate and scale. But what might they
How Do You Teach an AI Model to Reason? With Humans Read More +
Rustem Feyzkhanov, Machine Learning Engineer at Instrumental, presents the “Scaling Machine Learning with Containers: Lessons Learned” tutorial at the May 2025 Embedded Vision Summit. In the dynamic world of machine learning, efficiently scaling solutions from research to production is crucial. In this presentation, Feyzkhanov explores the nuances of scaling machine… “Scaling Machine Learning with Containers:
This blog post was originally published at STMicroelectronics’ website. It is reprinted here with the permission of STMicroelectronics. The vision AI platform PerCV.ai (pronounced Perceive AI), could be the secret weapon that enables a company to deploy an AI application when so many others fail. The solution from Irida Labs, a member of the ST
Cyril Zakka, Health Lead at Hugging Face, presents the “Vision-language Models on the Edge” tutorial at the May 2025 Embedded Vision Summit. In this Zakka, we provides an overview of vision-language models (VLMs) and their deployment on edge devices using Hugging Face’s recently released SmolVLM as an example. He examines… “Vision-language Models on the Edge,”
“Vision-language Models on the Edge,” a Presentation from Hugging Face Read More +
This blog post was originally published at SqueezeBits’ website. It is reprinted here with the permission of SqueezeBits. At SqueezeBits we have been empowering developers to efficiently deploy complex AI models while minimizing performance trade-offs with OwLite toolkit. With OwLite v2.5, we’re excited to announce official support for Qualcomm Neural Network (QNN) through seamless integration
OwLite Meets Qualcomm Neural Network: Unlocking On-device AI Performance Read More +
Niyati Prajapati, ML and Generative AI Lead at Google, presents the “Vision LLMs in Multi-agent Collaborative Systems: Architecture and Integration” tutorial at the May 2025 Embedded Vision Summit. In this talk, Prajapati explores how vision LLMs can be used in multi-agent collaborative systems to enable new levels of capability and… “Vision LLMs in Multi-agent Collaborative
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Every AI query has a cost, and not just in dollars. Study shows distributing AI workloads to your devices — such as your smartphone — can reduce costs and decrease water consumption What you should know: Study
Shifting AI Inference from the Cloud to Your Phone Can Reduce AI Costs Read More +
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