Spiral scanning creates six distinguishable polarization patterns in ferroelectric films, enabling data storage beyond binary and more than doubling information density per storage element. (Nanowerk ...

Classification is a central task in machine learning, underpinning applications in domains such as finance, medicine, engineering, information technology, and biology. However, machine learning ...

Stablecoins have emerged as a crucial component of the cryptocurrency ecosystem, bridging the gap between volatile digital assets and traditional fiat currencies and are worth $314 billion. Among them ...

Earlier this year, Apple introduced its Foundation Models framework during WWDC 2025, which allows developers to use the company’s local AI models to power features in their applications. The company ...

Key Laboratory of Thermo-Fluid Science and Engineering of MOE, School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, China ...

This study presents data on sex differences in gene expression across organs of four mice taxa. The authors have generated a unique and convincing dataset that fills a gap left by previous studies.

Google Search can now make AI-powered calls to local businesses. Businesses are selected based on traditional local search rankings. The feature is rolling out in the U.S. with higher usage limits for ...

The Large-ness of Large Language Models (LLMs) ushered in a technological revolution. We dissect the research. The Large-ness of Large Language Models (LLMs) ushered ...

Researchers at Institute of Science Tokyo have developed a novel Group Encoding method that accurately forecasts electricity demand using only On/Off device data from building energy systems. Tested ...

Creating a great online experience for local searchers is rooted in intent matching. You need to know how consumers are searching for the brands, goods, services, features, amenities, and qualities ...

Abstract: Glaucoma is a leading cause of irreversible blindness worldwide. This paper presents a comparative analysis of deep learning models for automated glaucoma detection. We integrate Local ...