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

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

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 ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

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

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 ...

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

Using brain organoids, scientists discover how neurons might misfire due to schizophrenia and bipolar disorder.

For the first time, lab-grown mini brains have revealed how neurons misfire in schizophrenia and bipolar disorder.