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Balancing Speed and Efficiency in High-Performance Computing

25.01.2026 by ebaster

Across diverse models, a power surrogate consistently converges, suggesting a robust and generalizable approach to approximating complex power dynamics regardless of architectural specifics.

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

Categories Science

Ask Space and Time: A New Era for Database Queries

25.01.2026 by ebaster

This work demonstrates a method for translating natural language questions into queries for spatio-temporal databases.

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

Categories Science

Drones Learn to Find Their Way: A New Approach to Indoor Navigation

25.01.2026 by ebaster

The system demonstrates a two-stage aerial navigation approach, dynamically switching between an exploratory policy (AION-e) and a goal-oriented one (AION-g) to optimize pathfinding in complex environments.

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

Categories Science

Decoding Molecular Secrets: A New Benchmark for NMR-Based Structure Prediction

25.01.2026 by ebaster

The NMRGym framework provides a comprehensive dataset and benchmark uniting experimental nuclear magnetic resonance (NMR) spectrometry with molecular structures, thereby accelerating structure elucidation and spectral simulation for scientific discovery.

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.

Categories Science

Beyond Diagrams: How Thinking Styles Impact Requirements Reviews

25.01.2026 by ebaster

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.

New research reveals that the benefits of using visual models in software requirements inspection aren’t universal, and depend on individual cognitive strengths.

Categories Science

Listening for the Universe: The LISA Mission

25.01.2026 by ebaster

The Laser Interferometer Space Antenna promises to open a new window on the cosmos by detecting gravitational waves from previously inaccessible sources.

Categories Science

The AI Fairness Gap: How We Judge Machines in Economic Games

25.01.2026 by ebaster

New research reveals people hold large language models to different standards of fairness than humans when it comes to resource allocation and economic interactions.

Categories Science

Beyond the Most Likely: Guiding Language Models with Uncertainty

25.01.2026 by ebaster

The Entropy-Tree method fully decodes information through a systematic process, enabling comprehensive data interpretation.

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

Categories Science

Beyond Interpretation: Building Trust in Qualitative Research

25.01.2026 by ebaster

Reflexis facilitates rigorous qualitative research by integrating researcher positionality, transparent coding histories, and collaborative discussion prompts into a unified workflow, thereby fostering robust thematic analysis and transforming interpretive differences into productive insights.

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.

Categories Science

Teaching AI to Test AI: A New Approach to Deep Learning Reliability

25.01.2026 by ebaster

The system processes abstract inputs, demonstrating a capacity for generalized representation beyond concrete data.

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.

Categories Science
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