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Research#llm📝 BlogAnalyzed: Dec 25, 2025 20:08

Last Week in AI #326: Qualcomm AI Chips, MiniMax M2, Kimi K2 Thinking

Published:Nov 9, 2025 18:57
1 min read
Last Week in AI

Analysis

This news snippet provides a high-level overview of recent developments in the AI field. Qualcomm's entry into the AI chip market signifies increasing competition and innovation in hardware. MiniMax's release of MiniMax M2 suggests advancements in AI model development. The partnership between Universal and Udio highlights the growing integration of AI in creative industries, specifically music. The mention of Kimi K2 Thinking, while vague, likely refers to advancements or discussions surrounding the Kimi AI model's reasoning capabilities. Overall, the article points towards progress in AI hardware, model development, and applications across various sectors. More detail on each development would be beneficial.
Reference

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

PermalinkLast Week in AI
Research#AI at the Edge📝 BlogAnalyzed: Dec 29, 2025 06:08

AI at the Edge: Qualcomm AI Research at NeurIPS 2024

Published:Dec 3, 2024 18:13
1 min read
Practical AI

Analysis

This article from Practical AI discusses Qualcomm's AI research presented at the NeurIPS 2024 conference. It highlights several key areas of focus, including differentiable simulation in wireless systems and other scientific fields, the application of conformal prediction to information theory for uncertainty quantification in machine learning, and efficient use of LoRA (Low-Rank Adaptation) on mobile devices. The article also previews on-device demos of video editing and 3D content generation models, showcasing Qualcomm's AI Hub. The interview with Arash Behboodi, director of engineering at Qualcomm AI Research, provides insights into the company's advancements in edge AI.
Reference

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

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Research#AI Hardware📝 BlogAnalyzed: Dec 29, 2025 07:23

Simplifying On-Device AI for Developers with Siddhika Nevrekar - #697

Published:Aug 12, 2024 18:07
1 min read
Practical AI

Analysis

This article from Practical AI discusses on-device AI with Siddhika Nevrekar from Qualcomm Technologies. It highlights the shift of AI model inference from the cloud to local devices, exploring the motivations and challenges. The discussion covers hardware solutions like SoCs and neural processors, the importance of collaboration between community runtimes and chip manufacturers, and the unique challenges in IoT and autonomous vehicles. The article also emphasizes key performance metrics for developers and introduces Qualcomm's AI Hub, a platform designed to streamline AI model testing and optimization across various devices. The focus is on making on-device AI more accessible and efficient for developers.
Reference

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

PermalinkPractical AI
Research#AI Deployment📝 BlogAnalyzed: Dec 29, 2025 07:41

Multi-Device, Multi-Use-Case Optimization with Jeff Gehlhaar - #587

Published:Aug 15, 2022 18:17
1 min read
Practical AI

Analysis

This podcast episode from Practical AI features Jeff Gehlhaar, VP of Technology at Qualcomm Technologies. The discussion centers on the practical challenges of deploying neural networks, particularly on-device quantization. The conversation also covers the collaboration between product and research teams, the tools within Qualcomm's AI Stack, and interesting automotive applications like automated driver assistance. The episode promises insights into real-world AI implementation and future advancements in the field, making it relevant for those interested in AI deployment and automotive technology.
Reference

“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.”

PermalinkPractical AI
Research#compression📝 BlogAnalyzed: Dec 29, 2025 07:43

Advances in Neural Compression with Auke Wiggers - #570

Published:May 2, 2022 16:00
1 min read
Practical AI

Analysis

This article summarizes a podcast episode from Practical AI featuring Auke Wiggers, an AI research scientist at Qualcomm. The discussion centers on neural compression, a technique that uses generative models to compress data. The conversation covers the evolution from traditional compression methods to neural codecs, the advantages of learning from examples, and the performance of these models on mobile devices. The episode also touches upon a specific paper on transformer-based transform coding for image and video compression, highlighting the ongoing research and developments in this field. The focus is on practical applications and real-time performance.
Reference

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

PermalinkPractical AI
Technology#AI Acceleration📝 BlogAnalyzed: Dec 29, 2025 07:50

Cross-Device AI Acceleration, Compilation & Execution with Jeff Gehlhaar - #500

Published:Jul 12, 2021 22:25
1 min read
Practical AI

Analysis

This article from Practical AI discusses AI acceleration, compilation, and execution, focusing on Qualcomm's advancements. The interview with Jeff Gehlhaar, VP of technology at Qualcomm, covers ML compilers, parallelism, the Snapdragon platform's AI Engine Direct, benchmarking, and the integration of research findings like compression and quantization into products. The article promises a comprehensive overview of Qualcomm's AI software platforms and their practical applications, offering insights into the bridge between research and product development in the AI field. The episode's show notes are available at twimlai.com/go/500.
Reference

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

PermalinkPractical AI
Technology#AI Applications📝 BlogAnalyzed: Dec 29, 2025 07:51

Accelerating Distributed AI Applications at Qualcomm with Ziad Asghar - #489

Published:Jun 3, 2021 17:54
1 min read
Practical AI

Analysis

This article from Practical AI discusses the advancements in AI applications at Qualcomm, featuring an interview with Ziad Asghar, VP of product management. The conversation covers the synergy between 5G and AI, enabling AI on mobile devices, and the balance between product evolution and research. It also touches upon Qualcomm's hardware infrastructure, their involvement in the Ingenuity helicopter project on Mars, specialization in IoT applications like autonomous vehicles and smart cities, the deployment of federated learning, and the importance of data privacy and security. The article provides a broad overview of Qualcomm's AI initiatives.
Reference

“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.”

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Research#AI Research📝 BlogAnalyzed: Dec 29, 2025 07:52

Probabilistic Numeric CNNs with Roberto Bondesan - #482

Published:May 10, 2021 17:36
1 min read
Practical AI

Analysis

This article summarizes an episode of the "Practical AI" podcast featuring Roberto Bondesan, an AI researcher from Qualcomm. The discussion centers around Bondesan's paper on Probabilistic Numeric Convolutional Neural Networks, which utilizes Gaussian processes to represent features and quantify discretization error. The conversation also touches upon other research presented by the Qualcomm team at ICLR 2021, including Adaptive Neural Compression and Gauge Equivariant Mesh CNNs. Furthermore, the episode briefly explores quantum deep learning and the future of combinatorial optimization research. The article provides a concise overview of the topics discussed, highlighting the key areas of Bondesan's research and the broader interests of his team.
Reference

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

PermalinkPractical AI
Research#AI Hardware📝 BlogAnalyzed: Dec 29, 2025 07:59

Open Source at Qualcomm AI Research with Jeff Gehlhaar and Zahra Koochak - #414

Published:Sep 30, 2020 13:29
1 min read
Practical AI

Analysis

This article from Practical AI provides a concise overview of a conversation with Jeff Gehlhaar and Zahra Koochak from Qualcomm AI Research. It highlights the company's recent developments, including the Snapdragon 865 chipset and Hexagon Neural Network Direct. The discussion centers on open-source projects like the AI efficiency toolkit and Tensor Virtual Machine compiler, emphasizing their role within Qualcomm's broader ecosystem. The article also touches upon their vision for on-device federated learning, indicating a focus on edge AI and efficient machine learning solutions. The brevity of the article suggests it serves as a summary or announcement of the podcast episode.
Reference

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

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Technology#AI Hardware📝 BlogAnalyzed: Dec 29, 2025 08:18

AI at the Edge at Qualcomm with Gary Brotman - TWiML Talk #223

Published:Jan 24, 2019 16:50
1 min read
Practical AI

Analysis

This article is a summary of a podcast episode featuring Gary Brotman, a Senior Director at Qualcomm. The discussion focuses on AI and Machine Learning technologies, specifically those used in Qualcomm's Snapdragon mobile platforms. The conversation likely covers the application of AI on mobile devices and at the edge, including popular use cases and the acceleration technologies that enable them. The article's value lies in providing insights into Qualcomm's AI strategy and the practical applications of AI in mobile technology.

Key Takeaways

Reference

“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”

PermalinkPractical AI