Key cells in the brain, neurons, form networks by exchanging signals, enabling the brain to learn and adapt at incredible speed.

By crafting an artificial brain-like environment with microscopic nanopillars, researchers have successfully guided neurons to grow in structured networks. This innovation could revolutionize how scie ...

Key cells in the brain, neurons, form networks by exchanging signals, enabling the brain to learn and adapt at incredible speed. Researchers at the Delft University of Technology in The Netherlands ...

Neural networks have revolutionized the fields of artificial intelligence (AI) and machine learning by providing a flexible, ...

By refining an artificial intelligence approach to predicting earthquakes in the laboratory, or labquakes, engineers at Penn ...

Collaboration and cooperation are key elements of human social interactions, which can contribute to the efficient ...

This article establishes a neural network-based technique for automatic peak picking in 2D NMR spectroscopy, demonstrating a better-performing algorithm than earlier approaches in TopSpin and ...

Autonomous underwater robots, such as ocean gliders, can autonomously navigate the ocean for several weeks. Their sensors measure parameters like temperature, pressure, salinity, oxygen concentration, ...

However, AI models are often used to find intricate patterns in data where the output is not always proportional to the input ...

The first is the TinyML model itself. While most of the world’s attention is focused on enormous—and still growing—large language models (LLMs), some researchers are developing really small ...

Neural implants contain integrated circuits (ICs)—commonly called chips—built on silicon. These implants need to be small and flexible to mimic circumstances inside the human body. However ...

Hybrid analog/spiking neural network approaches may be most efficient for the implementation of these architectures. Additionally, similar to other state-based neural networks like LSTMs, and in ...