In the mid-19th century, Bernhard Riemann conceived of a new way to think about mathematical spaces, providing the foundation ...

Scientists have built the most detailed 3D models yet of temperatures deep beneath Greenland. The results reveal uneven heat ...

AI-driven volatility may hit S&P 500 stocks hard. Discover potential risks, downside estimates, and why tech valuations could ...

Discover why FBTC ETF stands out for short/medium-term investors. Explore its liquidity, macro trends, and unique positioning ...

MemryX Inc., a company delivering production AI inference acceleration, today announced its strategic roadmap for the MX4. The next-generation accelerator is engineered to scale the company's ...

In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...

Recently, micro/nanosatellites have become a significant trend in space with the rapid development of space technology, ...

Abstract: This paper presents attention-based deep neural networks for high-dimensional microwave modeling to predict behavior of spatio-temporal modulated (STM) non-reciprocal bandpass filters ...

Abstract: Calibration of the composite load model with distributed generation (CMPLDWG) can be challenging due to its nonlinear and high-dimensional characteristics. To address this issue, this paper ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

Researchers at Tsinghua University developed PriorFusion, a unified framework that integrates semantic, geometric, and ...

As we look ahead to 2026, the operational demands on 340B programs are increasing across every dimension. Between the implementation of the 340B ...