Topic: research

15 stories found

Yesterday

industry24

Nous Research Adds One-Click Local Model Setup to Hermes Desktop

Nou Research has simplified local model setup in Hermes Desktop to a single click, automatically optimizing and configuring the process for users based on their hardware. This update aims to make AI model deployment more accessible and efficient for end-users.

marktechpost.com

Friday, September 4, 2026

industry32

Architecting memory and storage in the AI era

The AI inference era enables real-time analysis of vast datasets, crucial for advancements like accelerated medical research and efficient customer service. This technology is pivotal as it demonstrates the potential of AI to transform various industries through rapid data processing and decision-making.

technologyreview.com

Monday, August 31, 2026

Thursday, August 27, 2026

releases60

NousResearch releases: Hermes Agent v0.20.6 (v2026.8.27)

Hermes Agent v0.20.6 was released on August 27, 2026, consolidating over 525 merged pull requests into a stable version for easier consumption by downstream users. This release is crucial for ensuring compatibility and stability in Docker images, hosted deployments, and fresh installations.

github.com
trending53

MIT's Ad Hoc Committee on AI Use in Teaching, Learning, and Research Training

MIT established an ad hoc committee to explore the use of artificial intelligence in teaching, learning, and research training to enhance educational outcomes and address potential challenges. This initiative is crucial as AI technologies continue to evolve, offering new possibilities for personalized education while raising concerns about privacy and equity.

aiandeducation.mit.edu

Wednesday, August 26, 2026

research35

How much of a measured AI preference is the model, and how much is the instrument?

Researchers are questioning how reliable inferences about AI preferences are, as they are drawn from responses to specific prompts, raising concerns about the validity of current model welfare studies. This matters because accurate understanding of AI preferences is crucial for developing ethical and effective AI systems.

arxiv.org

Monday, August 24, 2026

research40

Toward Auto-Research: Mining Falsifiable Research Ideas from Paper Knowledge Graphs with Categorical Structure

A new approach aims to generate research ideas for autonomous vehicles by mining falsifiable concepts from structured paper knowledge graphs, addressing limitations of current automated systems that rely on text recombination or similarity searches. This method could enhance the quality and relevance of research ideas in specialized fields like autonomous technology.

arxiv.org

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