An earthquake just hit Hollywood. After an intense bidding process, Netflix has emerged victorious, becoming the future shepherd of Warner Bros. and its TV and movie studios, as well as HBO and HBO ...

The vulnerability is tracked as CVE-2025-12058 and it can be exploited for arbitrary file loading and conducting SSRF attacks. A vulnerability in the open source library Keras could allow attackers to ...

If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...

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 ...

A dual-approach Breast Cancer Prediction system using Machine Learning and Deep Learning. Includes EDA, model comparison (KNN, RF, Logistic), ANN with Keras, and hyperparameter tuning using ...

We are excited to share our first big milestone in solving a grand challenge that has hampered the predictive power of computational chemistry, biochemistry, and materials science for decades. By ...

Deep learning (DL), a subfield of artificial intelligence (AI), involves the development of algorithms and models that simulate the problem-solving capabilities of the human mind. Sophisticated AI ...

Imports If you want to run this code, you'll need a recent version of TensorFlow 2 - which contains the Keras deep learning library by default. In addition, you must install Matplotlib, Python 3.x, ...

Operator learning is a transformative approach in scientific computing. It focuses on developing models that map functions to other functions, an essential aspect of solving partial differential ...