Balancing Speed and Efficiency in High-Performance Computing

A new approach leverages attention mechanisms and surrogate modeling to intelligently schedule HPC jobs, optimizing for both runtime and power consumption.

A new approach leverages attention mechanisms and surrogate modeling to intelligently schedule HPC jobs, optimizing for both runtime and power consumption.

Researchers have developed a system that lets users query complex spatio-temporal databases using plain English, bypassing the need for specialized coding.

Researchers have developed a reinforcement learning framework that allows drones to navigate complex indoor environments and locate specific objects with improved robustness and efficiency.

Researchers have released a comprehensive dataset and evaluation platform to accelerate the development of AI tools that can determine a molecule’s structure from its NMR spectrum.
![Figure 1:Cognitive Tasks. The study illuminates how cognitive tasks, encompassing processes like [latex] \text{planning} [/latex], [latex] \text{reasoning} [/latex], and [latex] \text{learning} [/latex], are not isolated modules but rather interconnected functions that dynamically interact to facilitate complex problem-solving.](https://arxiv.org/html/2601.16009v1/images/OSPAN.png)
New research reveals that the benefits of using visual models in software requirements inspection aren’t universal, and depend on individual cognitive strengths.
The Laser Interferometer Space Antenna promises to open a new window on the cosmos by detecting gravitational waves from previously inaccessible sources.
New research reveals people hold large language models to different standards of fairness than humans when it comes to resource allocation and economic interactions.

A new decoding strategy focuses on exploring less probable, but potentially more accurate, options to improve the quality and reliability of generated text.

A new collaborative workspace, Reflexis, aims to enhance the rigor and transparency of qualitative analysis by embedding reflexivity and analytical provenance into the research process.

Researchers have developed a novel method that uses the power of language models and formal verification to automatically discover and exploit vulnerabilities in deep learning libraries.