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Science

Can AI Predict How We Make Up Our Minds?

20.01.2026 by qfx

The study demonstrates that complex dialogue significantly increases perceived mental demand and effort, as evidenced by elevated NASA-TLX scores, confirming successful manipulation of cognitive load.

New research explores whether artificial intelligence can anticipate human decisions in everyday conversations, even when we’re influenced by subtle biases.

Categories Science

Beyond the Numbers: Predicting Lung Cancer Survival with Patient Dynamics

20.01.2026 by qfx

A new approach combines tumor growth and routine blood tests to offer more accurate survival predictions for non-small cell lung cancer patients.

Categories Science

Hardening the Machine: A Security Lifecycle for ML Systems

20.01.2026 by qfx

The system integrates security controls directly into the MLOps lifecycle-a SecMLOps approach-to bolster robustness against potential vulnerabilities, acknowledging that even the most theoretically sound framework will eventually encounter practical challenges in a production environment.

As machine learning models become increasingly integral to critical infrastructure, a proactive and holistic approach to security is essential throughout the entire development process.

Categories Science

Predicting Process Outcomes with Limited Data: A New Approach

20.01.2026 by qfx

Researchers demonstrate that advanced AI models can accurately forecast process behavior even when data is scarce, offering a viable alternative to traditional methods.

Categories Science

Predictive Power: AI Spots Pump Problems Before They Fail

20.01.2026 by qfx

New research demonstrates the effectiveness of artificial intelligence in proactively identifying anomalies in hydraulic pumps, paving the way for improved predictive maintenance.

Categories Science

Smarter IoT: Machine Learning at the Edge for a Sustainable Future

20.01.2026 by qfx

The included papers demonstrate a diverse landscape of Internet of Things applications, signaling a broad exploration of interconnected device potential.

This review explores how bringing machine learning processing closer to IoT devices can dramatically improve network efficiency and reduce environmental impact.

Categories Science

Collaborative Credit Risk Modeling: A New Approach to Privacy and Prediction

20.01.2026 by qfx

A comparative analysis of privacy mechanisms reveals that while a non-differentially private baseline achieves peak performance, Bayesian Differential Privacy-specifically, the proposed FSL-BDP framework-offers a robust stability and competitive discrimination even under strict privacy constraints, effectively mitigating the performance degradation observed with classical Differential Privacy approaches as ε approaches 1.0 or lower.

A novel federated learning framework combines survival analysis with differential privacy to improve credit risk assessment while protecting sensitive financial data.

Categories Science

The DeFi Liquidity Puzzle: Risk, Reward, and Resilience

19.01.2026 by qfx

A cyclic decentralized exchange (DEX) trading strategy, mirroring the efficiency of a Carnot cycle, dynamically alternates between switching between liquidity pools and modifying pool liquidity to optimize trade execution.

A new analysis explores how to optimize liquidity provision in decentralized finance, addressing market impact and the growing threat of stablecoin instability.

Categories Science

When PDE Solvers Break: Unmasking the Limits of Neural Operators

19.01.2026 by qfx

Prediction error analysis for the nonlinear Schrödinger equation reveals a spectral bias, concentrating energy at high frequencies exceeding the training bandwidth and indicating limitations in extrapolating solutions beyond the learned spectral range.

A new study systematically tests the robustness of Fourier Neural Operators across a range of partial differential equations, revealing common failure points and highlighting areas for improvement.

Categories Science

Critical Minerals: How Market Shocks Reveal Hidden Investor Behavior

19.01.2026 by qfx

New research shows that equity markets for essential minerals react predictably to major events, exposing patterns of herding and anti-herding among investors.

Categories Science
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