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Research#Signal Processing🔬 ResearchAnalyzed: Jan 10, 2026 11:19

Qonvolution: A Novel Approach for High-Frequency Signal Learning

Published:Dec 15, 2025 00:46
1 min read
ArXiv

Analysis

The paper, available on ArXiv, introduces Qonvolution, a new method for learning high-frequency signals using queried convolution. This approach potentially offers improvements in signal processing tasks compared to traditional convolutional methods.
Reference

“The paper is available on ArXiv.”

PermalinkArXiv
Research#llm📝 BlogAnalyzed: Dec 24, 2025 18:20

Which LLM Should I Use? Asking LLMs Themselves

Published:Dec 13, 2025 15:00
1 min read
Zenn GPT

Analysis

This article explores the question of which Large Language Model (LLM) is best suited for specific tasks by directly querying various LLMs like GPT and Gemini. It's a practical approach for engineers who frequently use LLMs and face the challenge of selecting the right tool. The article promises to present the findings of this investigation, offering potentially valuable insights into the strengths and weaknesses of different LLMs for different applications. The inclusion of links to the author's research lab and an advent calendar suggests a connection to ongoing research and a broader context of AI exploration.

Key Takeaways

Reference

“「こういうことしたいんだけど、どのLLM使ったらいいんだろう...」”

PermalinkZenn GPT
Research#robotics📝 BlogAnalyzed: Dec 29, 2025 08:23

Learning Semantically Meaningful and Actionable Representations with Ashutosh Saxena - TWiML Talk #170

Published:Aug 6, 2018 20:26
1 min read
Practical AI

Analysis

This article highlights an interview with Ashutosh Saxena, a prominent figure in the field of AI and robotics. The focus is on his work, particularly the RoboBrain project. This project aims to develop a computational system that allows robots to understand and interact with their environment in a more sophisticated way by creating semantically meaningful representations. The article's brevity suggests it serves as an introduction to the topic, directing readers to a more detailed source for further information. The mention of sharing and querying by other robots hints at collaborative learning and knowledge transfer within a robotic ecosystem.
Reference

“Ashutosh and I discuss his RoboBrain project, a computational system that creates semantically meaningful and actionable representations of the objects, actions and observations that a robot experiences in its environment, and allows these to be shared and queried by other robots to learn new actions.”

PermalinkPractical AI