Search:
Match:
7 results
research#agent📝 BlogAnalyzed: Jan 21, 2026 02:45

Curiosity Rover Gets a Language Boost: NASA's ROSA Agent Powers Autonomous Exploration

Published:Jan 21, 2026 02:44
1 min read
Qiita LLM

Analysis

This is a fantastic development! By integrating NASA's ROSA (Robot Operating System Agent) with the SpaceROS Curiosity rover demo, researchers are achieving a new level of autonomy. Giving the rover natural language instructions and seeing it execute tasks is incredibly exciting and represents a significant step forward in robotic exploration.
Reference

“The agent takes natural language instructions and executes tasks.”

PermalinkQiita LLM
business#satellite📝 BlogAnalyzed: Jan 17, 2026 06:17

Hydrosat Secures $60M to Revolutionize Water Management with AI-Powered Satellite Tech!

Published:Jan 17, 2026 06:15
1 min read
Techmeme

Analysis

Hydrosat is leading the charge in using AI-driven thermal infrared satellite technology to provide crucial data for water resource management! Their innovative approach is already helping defense, government, and agribusiness clients track and understand water movement, paving the way for more efficient and sustainable practices.
Reference

“Defence, government and agribusiness customers use the Luxembourg startup's data to track the movement a critical resource: water”

PermalinkTechmeme
Research Paper#Astrophysics, Blazars, X-ray Astronomy🔬 ResearchAnalyzed: Jan 3, 2026 23:56

Spectral State Switching in Mrk 421 Observed by AstroSat

Published:Dec 26, 2025 06:15
1 min read
ArXiv

Analysis

This paper presents a detailed X-ray spectral analysis of the blazar Mrk 421 using AstroSat observations. The study reveals flux variability and identifies two dominant spectral states, providing insights into the source's behavior and potentially supporting a leptonic synchrotron framework. The use of simultaneous observations and time-resolved spectroscopy strengthens the analysis.
Reference

“The low-energy particle index is found to cluster around two discrete values across flux states indicating two spectra states in the source.”

PermalinkArXiv
Research#LLM🔬 ResearchAnalyzed: Jan 10, 2026 14:29

RoSA: Parameter-Efficient Fine-Tuning for LLMs with RoPE-Aware Selective Adaptation

Published:Nov 21, 2025 09:55
1 min read
ArXiv

Analysis

This research paper introduces RoSA, a novel method for parameter-efficient fine-tuning (PEFT) in Large Language Models (LLMs). RoSA leverages RoPE (Rotary Position Embedding) to selectively adapt parameters, potentially leading to improved efficiency and performance.
Reference

“RoSA: Enhancing Parameter-Efficient Fine-Tuning via RoPE-aware Selective Adaptation in Large Language Models”

PermalinkArXiv
Research#AI Ethics📝 BlogAnalyzed: Dec 29, 2025 17:48

Rosalind Picard: Affective Computing, Emotion, Privacy, and Health

Published:Jun 17, 2019 15:56
1 min read
Lex Fridman Podcast

Analysis

This article summarizes a podcast interview with Rosalind Picard, a prominent figure in the field of affective computing. It highlights her pioneering work in establishing the field and her contributions to understanding the role of emotion in artificial intelligence and human-computer interaction. The article mentions her book, "Affective Computing," and her involvement in founding companies like Affectiva and Empatica. The focus is on Picard's expertise and the significance of her research in the context of AI and its implications for human relationships and health. The article also provides links to the podcast for further information.

Key Takeaways

Reference

“Rosalind Picard is a professor at MIT, director of the Affective Computing Research Group at the MIT Media Lab, and co-founder of two companies, Affectiva and Empatica.”

PermalinkLex Fridman Podcast
Research#audio processing📝 BlogAnalyzed: Dec 29, 2025 08:14

Librosa: Audio and Music Processing in Python with Brian McFee - TWiML Talk #263

Published:May 9, 2019 18:13
1 min read
Practical AI

Analysis

This article summarizes a podcast episode from Practical AI featuring Brian McFee, the creator of LibROSA, a Python package for music and audio analysis. The episode focuses on McFee's experience building LibROSA, including the core functions of the library, his use of Jupyter Notebook, and a typical LibROSA workflow. The article provides a brief overview of the podcast's content, highlighting key aspects of the discussion. It serves as a concise introduction to the topic and the guest's expertise.
Reference

“Brian walks us through his experience building LibROSA, including: Detailing the core functions provided in the library, His experience working in Jupyter Notebook, We explore a typical LibROSA workflow & more!”

PermalinkPractical AI
Research#llm📝 BlogAnalyzed: Dec 29, 2025 08:26

Problem Formulation for Machine Learning with Romer Rosales - TWiML Talk #149

Published:Jun 11, 2018 20:55
1 min read
Practical AI

Analysis

This article summarizes a podcast episode featuring Romer Rosales, Director of AI at LinkedIn. The discussion covers graphical models, approximate probability inference, and the application of machine learning at LinkedIn. A key focus is on problem formulation and selecting appropriate objective functions, highlighting LinkedIn's 'holistic approach' to ML projects. The conversation also touches upon tools developed to scale data science efforts, such as optimization solvers and hyperparameter optimization. The episode promises an engaging discussion on practical aspects of machine learning.
Reference

“This leads us into a really interesting discussion about problem formulation and selecting the right objective function for a given problem.”

PermalinkPractical AI