An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

According to Securities Star news, data from the Tianyancha APP shows that Hikvision (002415) has recently obtained an ...

AI transforms RF engineering through neural networks that predict signal behavior and interference patterns, enabling ...

This year, Shiyuan Co., Ltd. has newly obtained 290 patent authorizations, a decrease of 40.57% compared to the same period last year. According to the company's mid-2025 financial data, in the first ...

Qubic attempted a 51% attack on Monero while training its AI model AIGarth. It's now posting on social media—and the public ...

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

Understand the merits of large language models vs. small language models, and why knowledge graphs are the missing piece in ...

The rapid advancement of artificial intelligence (AI) and machine learning systems has increased the demand for new hardware components that could speed up data analysis while consuming less power. As ...

In this study, an integrated artificial intelligence (AI)-atomic force microscopy (AFM) platform is introduced that enables ...

The integration of deep learning in biodiesel research accelerates feedstock evaluation and optimizes production, making it ...

A new AI tool accurately identifies multiple drivers of disease in cells and predicts therapies that can restore cell ...