QNNs achieved 95 percent accuracy, while QSVMs reached 94 percent, both surpassing classical machine learning methods, which ...

Traditional keyword searches often struggle to accurately match technological content, while AI semantic search can understand the meaning of the search text, allowing for more precise identification ...

Machine learning algorithms have been used to predict cancer progression, identify early signs of Parkinson’s disease, and ...

Quantum computing can significantly speed up the training process of machine learning and deep learning algorithms. For example, the training time for algorithms such as Convolutional Neural Networks ...

Abstract: The work's objective is to assess how well the classification techniques of logistic regression and support vector machine predict handwritten digits. A Digit dataset with 985 records is ...

Abstract: The transformer fault diagnosis model based on the improved leapfrog algorithm support vector machine is significantly higher in prediction accuracy than other intelligent optimization ...

A new technical paper titled “Cross-Layer Design of Vector-Symbolic Computing: Bridging Cognition and Brain-Inspired Hardware Acceleration” was published by researchers at Purdue University and ...

Marine coral sand-clay mixtures (MCCM) are widely used as fill materials in offshore engineering, where their strength characteristics are critical to structural stability and safety. This study ...

Palantir (NASDAQ: PLTR) has seen its stock drop for six consecutive sessions amid a broader market pullback, erasing approximately $73 billion from its market value. As the drop follows a 442% surge ...

The upcoming couple of weeks are shaping up to be a critical period for XRP, with the U.S. Securities and Exchange Commission (SEC) postponing its decisions on new spot exchange-traded funds (ETFs) ...