How do caterpillars keep memories after dissolving into soup? How do we transform without fragmenting? A new AI architecture ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...

Accurate smartphone positioning in dense urban environments remains challenging due to signal blockage, multipath effects, and unreliable satellite visibility. This study presents a new positioning ...

Large language models repeatedly chased losses, escalated risk and even bankrupted themselves in simulated gambling ...

As we look toward 2026, AI is no longer an experimental concept in the professional art scene but is firmly embedded in many ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

A face shape detector analyzes the structure of a human face by identifying and measuring key facial landmarks. These include the width of the forehead, the position of the cheekbones, the shape of ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Hydrogen peroxide is widely used but energy-intensive to produce. A new machine-learning framework helps find catalysts that ...