Technology is advancing at an unprecedented rate, and terms like “machine learning”, “deep learning”, and “neural networks” ...

In today's machine learning field, deep neural network models are becoming increasingly large and complex, posing significant challenges to traditional electronic computing hardware. To address this ...

A landmark has been reached in the field of physics and artificial intelligence with the successful resolution of a ...

In the "This Paper Changed My Life" series, neuroscientists reflect on papers that have profoundly influenced their careers ...

In recent years, predictive technologies for volcanic eruptions have advanced significantly, particularly with the ...

What are convolutional neural networks in deep learning? Convolutional neural networks are used in computer vision tasks, which employ convolutional layers to extract features from input data.

A research team has studied the development of the Shanghai Typhoon Model from a traditional physics-based regional model ...

With artificial intelligence and machine learning (AI/ML) processors and coprocessors roaring across the embedded edge product landscape, the quest continues for high-performance technology that can ...

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

Caltech scientists have developed an artificial intelligence (AI)–based method that dramatically speeds up calculations of ...