In the fast-changing world of artificial intelligence, the industry is deploying more AI compute at the edge. But the growing diversity and data footprint of transformers and models such as large language models and large multimodal models puts a spotlight […]
Accelerating machine learning and AI workloads often requires specialized hardware, but managing compatibility across diverse platforms can be challenging. The Khronos Group provides the industry’s only suite of nonproprietary API and language standards for ML and AI acceleration, enabling developers […]
In the dynamic world of machine learning, efficiently scaling solutions from research to production is crucial. In this session, we explore the nuances of scaling machine learning pipelines, emphasizing the role of containerization in improving reproducibility, portability and scalability. Key […]
In this session, Matt Merrifield, Chief Technology Officer at The Nature Conservancy of California, will explain how the world’s largest environmental nonprofit is spearheading projects to scale the use of edge AI and vision solutions for critical conservation challenges. Matt […]
By using vision-language models (VLMs) or combining large language models (LLMs) with conventional computer vision models, we can create vision systems that are able to interpret policies and enable a much more sophisticated understanding of scenes and human behavior compared […]
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