Eric Gutiérrez, 6th February 2026. A Python implementation of a 1-hidden layer neural network built entirely from first principles. This project avoids deep learning libraries (like TensorFlow or ...

Abstract: Neural architecture search (NAS) has been widely adopted to design high-accuracy architectures, which are often vulnerable against adversarial attacks. To address this problem, existing ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...

According to @godofprompt, MIT researchers have demonstrated that up to 90% of a neural network can be deleted without sacrificing accuracy, a breakthrough known as ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...

Brain–computer interfaces are beginning to truly "understand" Chinese. The INSIDE Institute for NeuroAI, in collaboration with Huashan Hospital affiliated with Fudan University, the National Center ...

It shows the schematic of the physics-informed neural network algorithm for pricing European options under the Heston model. The market price of risk is taken to be λ=0. Automatic differentiation is ...

The current machine_learning directory in TheAlgorithms/Python lacks implementations of neural network optimizers, which are fundamental to training deep learning models effectively. To fill this gap ...

Abstract: This paper presents the implementation of various quantised neural network-based Network Intrusion Detection Systems on a SmartNIC using the P4 programming language. SmartNICs impose ...

BEIJING, Sept. 15, 2025 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that ...