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Research#AI at the Edge📝 BlogAnalyzed: Dec 29, 2025 07:25

Gen AI at the Edge: Qualcomm AI Research at CVPR 2024

Published:Jun 10, 2024 22:25
1 min read
Practical AI

Analysis

This article from Practical AI discusses Qualcomm AI Research's contributions to the CVPR 2024 conference. The focus is on advancements in generative AI and computer vision, particularly emphasizing efficiency for mobile and edge deployments. The conversation with Fatih Porikli highlights several research papers covering topics like efficient diffusion models, video-language models for grounded reasoning, real-time 360° image generation, and visual reasoning models. The article also mentions demos showcasing multi-modal vision-language models and parameter-efficient fine-tuning on mobile phones, indicating a strong focus on practical applications and on-device AI capabilities.
Reference

“We explore efficient diffusion models for text-to-image generation, grounded reasoning in videos using language models, real-time on-device 360° image generation for video portrait relighting...”

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Research#AI Ethics📝 BlogAnalyzed: Dec 29, 2025 08:19

Trust and AI with Parinaz Sobhani - TWiML Talk #208

Published:Dec 11, 2018 16:53
1 min read
Practical AI

Analysis

This article summarizes a podcast episode featuring Parinaz Sobhani, Director of Machine Learning at Georgian Partners. The discussion centers on trust in AI, covering key aspects like transparency, fairness, and accountability. The conversation also touches upon projects related to trust that Sobhani and her team are involved in, as well as relevant research presented at the NeurIPS conference. The focus is on the practical implications of building trustworthy AI systems.
Reference

“The article doesn't contain a direct quote.”

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Research#AI Infrastructure📝 BlogAnalyzed: Dec 29, 2025 08:34

Scalable Distributed Deep Learning with Hillery Hunter - TWiML Talk #77

Published:Dec 4, 2017 19:34
1 min read
Practical AI

Analysis

This podcast episode from Practical AI focuses on distributed deep learning, featuring Hillery Hunter from IBM. The discussion centers around the PowerAI Distributed Deep Learning Communication Library (DDL), exploring its technical architecture, synchronous training capabilities, and Multi-Ring Topology. The episode caters to a technical audience interested in the performance and hardware aspects of deep learning. The interview provides insights into IBM's research and development in the field, offering a glimpse into the practical applications of AI within an enterprise context, as discussed at the AI Summit in New York City.
Reference

“Hillery joins us to discuss her team's research into distributed deep learning, which was recently released as the PowerAI Distributed Deep Learning Communication Library or DDL.”

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