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

Scientists have discovered specialized IC-encoder neurons that make the brain “see” illusions, such as squares or triangles that aren’t truly there.

AI is booming! These 5 top jobs offer high pay, growth, and demand for the next decade. So, start learning today!

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

This is a general purpose aimbot, which uses a neural network for enemy/target detection. The aimbot doesn't read/write memory from/to the target process. It is essentially a "pixel bot", designed ...

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech ...

in this video, we will understand what is Recurrent Neural Network in Deep Learning. Recurrent Neural Network in Deep Learning is a model that is used for Natural Language Processing tasks. It can be ...

Abstract: Aiming to address the lack of effective parameter-tuning strategies for model-free predictive controllers, this letter proposes an online self-learning approach using a tiny neural network.

Abstract: Artificial neural networks (ANNs) have become a popular tool in digital signal processing (DSP). Among the widespread ANN architectures, complex-valued neural networks (CVNNs) have been ...