“The article's aim is to help readers understand the basic concepts of NPUs and why they are important.”

“While the article itself contains no direct quotes, the framing suggests a Qualcomm representative was interviewed at CES.”

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

“Expect plenty of laptops, smart home tech, and TVs — and lots of robots.”

“"As a business unit within Qualcomm, Arduino continues to make independent decisions on its product portfolio, with no direction imposed on where it should or should not go," Bedi said. "Everything that Arduino builds will remain open and openly available to developers, with design engineers, students and makers continuing to be the primary focus.... Developers who had mastered basic embedded workflows were now asking how to run large language models at the edge and work with artificial intelligence for vision and voice, with an open source mindset," he said.”

“Qualcomm announces AI chips to compete with AMD and Nvidia”

“Hung Bui details his team's work on SwiftBrush and SwiftEdit, which enable high-quality text-to-image generation and editing in a single inference step.”

“We start with “DiMA: Distilling Multi-modal Large Language Models for Autonomous Driving,” an end-to-end autonomous driving system that incorporates distilling large language models for structured scene understanding and safe planning motion in critical "long-tail" scenarios.”

“We explore the challenges presented by the LLM encoding and decoding (aka generation) and how these interact with various hardware constraints such as FLOPS, memory footprint and memory bandwidth to limit key inference metrics such as time-to-first-token, tokens per second, and tokens per joule.”

“We dig into the challenges and opportunities presented by differentiable simulation in wireless systems, the sciences, and beyond.”

“Siddhika introduces Qualcomm's AI Hub, a platform developed to simplify the process of testing and optimizing AI models across different devices.”

“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...”

“”

“Markus’ first paper, Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing, focuses on tackling activation quantization issues introduced by the attention mechanism and how to solve them.”

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

“Qualcomm is working with Meta to run Llama-2 on mobile devices.”

“Qualcomm works with Meta to enable on-device AI applications using Llama 2”

“The article doesn't contain a direct quote, but summarizes a conversation.”

“The article doesn't contain a specific quote, but the focus is on the practical application of AI models on edge devices.”

“We explore how mobile and automotive devices have different requirements for AI models and how their AI stack helps developers create complex models on both platforms.”

“The episode discusses Brehmer's paper "Weakly supervised causal representation learning".”

“We discuss the challenges of real-world neural network deployment and doing quantization on-device, as well as a look at the tools that power their AI Stack.”

“The article explores a trio of CVPR-accepted papers.”

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

“The article doesn't contain a direct quote, but rather summarizes the topics discussed.”

“We explore the complexities that are unique to doing machine learning on resource constrained devices...”

“The first, Neural Augmentation of Kalman Filter with Hypernetwork for Channel Tracking, details the use of deep learning to augment an algorithm to address mismatches in models, allowing for more efficient training and making models more interpretable and predictable.”

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

“We explore the paper Skip-Convolutions for Efficient Video Processing, which looks at training discrete variables to end to end into visual neural networks.”

“We begin our conversation with Ziad exploring the symbiosis between 5G and AI and what is enabling developers to take full advantage of AI on mobile devices.”

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

“The article doesn't contain any direct quotes.”

“The article doesn't contain a direct quote, but the focus is on how gates are used to drive efficiency and accuracy, while decreasing model size.”

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

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

“The article doesn't contain a direct quote, but rather a summary of the discussion.”

“In our conversation, we discuss AI on mobile devices and at the edge, including popular use cases, and explore some of the various acceleration technologies offered by Qualcomm and others that enable th”