Science – Page 5 – Minority Mindset

Predicting Cloud Demand with AI: A New Topology-Aware Approach

28.02.2026 by qfx

A novel artificial intelligence framework leverages service dependencies and multi-granularity data to significantly improve load forecasting in dynamic cloud native platforms.

Predicting the Rise of Superbugs: A Data-Driven Approach

28.02.2026 by qfx

XGBoost’s predictive accuracy concentrates within a narrow margin of error for most observations, yet significant deviations consistently arise when analyzing high-resistance data, suggesting a limitation in the model’s capacity to extrapolate beyond commonly observed conditions.

New research harnesses global surveillance data and machine learning to forecast antimicrobial resistance trends and inform public health strategies.

Mapping the Flow: A Smarter Approach to Traffic Forecasting

28.02.2026 by qfx

Performance comparisons across varying traffic scales reveal that reproduced models-along with those cited from previous work-demonstrate limitations on hardware with 48 GB of memory, as indicated by out-of-memory errors denoted by a hyphen, while the bolded values highlight the best-performing configurations within those constraints.

A new spatio-temporal network leverages positional awareness and temporal attention to dramatically improve the accuracy and efficiency of large-scale traffic prediction.

The Search for Truth Online: A China-Focused Study

28.02.2026 by qfx

Across multiple search engines-Baidu, Bing, and Sogou-large language models including DeepSeek, Qwen, and LLaMA demonstrated varying predictive accuracy, with confidence intervals established through bootstrapping, and performance generally clustered around an overall mean as indicated by the red dashed line.

A new analysis reveals the varying accuracy of search engines, large language models, and AI-powered overviews in delivering factual information to Chinese web users.

Code Under Scrutiny: AI Spots Vulnerabilities with Growing Accuracy

28.02.2026 by qfx

A new approach leveraging deep learning is significantly improving the automated detection of security flaws in source code.

Decoding Attacks to Uncover Hidden Vulnerabilities

28.02.2026 by qfx

New research shows how analyzing the language of cyberattacks can proactively identify software flaws before they are exploited.

Bridging Neural Networks and Gaussian Processes for Robust Prediction

28.02.2026 by qfx

New research demonstrates a powerful connection between Bayesian neural networks and Gaussian processes, leading to more scalable and reliable probabilistic modeling.

Can AI Understand Money?

28.02.2026 by qfx

The FIRE Benchmark establishes a standardized evaluation framework for foundation models, assessing their capacity to adapt to distribution shifts and maintain performance across a spectrum of tasks-a necessary measure of robustness as these systems inevitably encounter unforeseen conditions in real-world deployment.

A new benchmark is challenging large language models to demonstrate genuine financial intelligence and reasoning skills.

Clear Skies Ahead: AI Predicts Dangerous Cloud Formations for Safer Flights

27.02.2026 by qfx

AviaSafe consistently improves forecast accuracy-reducing mean normalized root mean squared error across 93.7% of variable and time-step combinations-demonstrating its superiority over the baseline model in 7-day predictions across all 13 pressure levels.

A new deep learning model, AviaSafe, directly forecasts critical cloud properties, promising a significant leap forward in aviation safety and weather prediction.

Decoding the Heart: Trustworthy AI for Predicting Sudden Cardiac Death

27.02.2026 by qfx

A new approach combines machine learning with logic-based explanations to build confidence in predicting life-threatening events in patients with Chagas disease.