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Bridging the Digital Gap for Seniors with Smarter AI

18.01.2026 by qfx

The guiding prompt-a carefully constructed directive-served as the foundational input for the technological solution’s creation.

New research explores how understanding the unique communication styles of older adults can lead to more effective and accessible AI-powered technology support.

Categories Science

Market Signals and the Noise Within

17.01.2026 by qfx

New research explores how the reactions of even small-time traders can dramatically impact price discovery and market stability.

Categories Science

City in Sight: AI Navigates Complex Urban Landscapes

17.01.2026 by qfx

Training a prediction model on a combined dataset of nuScenes and DeepUrban yields notably more conservative vehicle predictions-manifesting as reduced future displacement error and a lower collision score-compared to training solely on nuScenes, where predictions exhibit a greater tendency toward assertive, yet error-prone, trajectories.

Researchers introduce a new dataset and framework for improving autonomous vehicle prediction and planning in densely populated city environments.

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Beyond the Echo Chamber: Fostering Creative Reasoning in AI

17.01.2026 by qfx

New research addresses a critical challenge in large language models – the tendency to converge on limited solution sets – by rewarding diversity and exploring novel approaches.

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Seeing Through the Smoke: AI Restores Clarity to Gauge Readings

17.01.2026 by qfx

The framework successfully recovers gauge readings from images obscured by smoke, demonstrating an ability to enhance visual data and provide reliable measurements even under adverse conditions, as evidenced by the consistent readings obtained following image processing.

New research demonstrates a deep learning approach to enhance the visibility of analog gauges in challenging conditions like smoke and haze, paving the way for reliable automated inspection.

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Beyond the Signal: AI Rewrites the Rules of Wireless

17.01.2026 by qfx

The generated modulation’s spectral characteristics, as visualized in the spectrogram, demonstrate a concentrated energy distribution-a hallmark of efficient signal transmission-and reveal the precise frequencies employed to encode information within the waveform, confirming the algorithm’s ability to synthesize targeted signals.

Researchers are leveraging the power of artificial intelligence to dynamically optimize wireless communication signals, potentially unlocking unprecedented levels of spectral efficiency.

Categories Science

Restoring Images with Neural Networks: A Surprisingly Elegant Theory

17.01.2026 by qfx

An analytic theory accurately forecasts neural network behavior across diverse inverse problems-denoising, inpainting, and deconvolution-and datasets-FFHQ, CIFAR10, and FashionMNIST-even with fluctuating noise levels σ, demonstrating a predictive capability that closely aligns with the outputs of trained UNet, ResNet, and PatchMLP models.

New research reveals that convolutional neural networks used for image restoration are remarkably similar to mathematically optimal estimators, providing a foundation for understanding their performance.

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Beyond the Benchmark: How AI is Really Being Used

17.01.2026 by qfx

Currently, xAI’s Grok Code Fast 1 dominates reasoning-related token traffic, processing the largest volume among leading models-a position followed by Google’s Gemini 2.5 Pro and Gemini 2.5 Flash-while Grok 4 Fast and gpt-oss-120b round out the top contenders in this evolving ecosystem of language processing.

A massive analysis of 100 trillion tokens reveals a surprising shift in how artificial intelligence models are deployed, moving past simple tasks toward complex, agentic workflows.

Categories Science

The Art of Persuasion, Now Decoded by AI

17.01.2026 by qfx

The MS-PS framework evaluates persuasive messaging by independently analyzing each message through six distinct persuasion strategies, generating both an explanatory assessment and a persuasiveness score [latex] (1-{10}) [/latex] for each, with variants either selecting the message exhibiting the higher average score or employing a trained multilayer perceptron classifier-informed by individual scores, their average, variance, and entropy-to determine the more persuasive option.

Researchers have developed a new framework that uses large language models to identify winning arguments by analyzing the persuasive techniques employed within them.

Categories Science

Beyond the Balance Sheet: Smarter Financial Summaries with AI

17.01.2026 by qfx

The research introduces a hybrid framework-integrating extractive methods with transformer models-specifically designed to tackle the complexities of summarizing financial documents, acknowledging that even innovative architectures inevitably contribute to future technical debt as production use cases emerge.

New research explores how combining the strengths of artificial intelligence can unlock deeper insights from lengthy financial reports and earnings calls.

Categories Science
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