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

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

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

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.

Neural architecture search (NAS) and machine learning optimisation represent rapidly advancing fields that are reshaping the way modern systems are designed and deployed. By automating the process of ...

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

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

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 ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

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

As artificial intelligence explodes in popularity, two of its pioneers have nabbed the 2024 Nobel Prize in physics. The prize surprised many, as these developments are typically associated with ...