Abstract: Code translation between programming languages is a complex task that poses significant challenges in maintaining both the structure and functionality of the translated code. This work ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

Abstract: This article proposes a neural network (NN)-based calibration framework via quantization code reconstruction to address the critical limitation of multidimensional NNs (MDNNs) in ...

An unauthenticated user can execute the attack, and there’s no mitigation, just a hotfix that should be applied immediately. A maximum severity remote code execution vulnerability in Hewlett Packard ...

The package contains a mixture of classic decoding methods and modern machine learning methods. For regression, we currently include: Wiener Filter, Wiener Cascade, Kalman Filter, Naive Bayes, Support ...

Cybersecurity firm F5 Networks says government-backed hackers had “long-term, persistent access” to its network, which allowed them to steal the company’s source code and customer information. In a ...

Meta is shifting the goalposts in the AI coding race. The company has released its Code World Model (CWM), a powerful 32-billion-parameter system designed not just to write code, but to fundamentally ...

B. Heller-Kaikov, R. Pail and M. Werner, Neural network-based framework for signal separation in spatio-temporal gravity data. Computers and Geosciences (2025), doi ...

3D rendering—the process of converting three-dimensional models into two-dimensional images—is a foundational technology in computer graphics, widely used across gaming, film, virtual reality, and ...