Dogs Vs Cats - A deep learning project that classifies images of dogs and cats using a Convolutional Neural Network (CNN) built with TensorFlow/Keras. Trained on the Kaggle Dogs vs Cats dataset with ...

The big challenge in deep learning is that you need a lot of data to train the neural network. Fortunately, one of my ...

The neural net of Fugatto is one developed at Google in 2022 that can operate on "spectrograms," sounds as wave patterns. The ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and ...

Discover how Deepseek R2 is redefining AI with self-learning and advanced evaluation systems like GRM. The future of AI ...

Andrew Ng’s Kira Learning uses A.I. agents to transform K–12 education with tools for teachers, students and administrators.

RAGEN stands out not just as a technical contribution but as a conceptual step toward more autonomous, reasoning-capable AI agents.

With the release of TensorFlow Lite at Google I/O 2019, the accessible machine learning library is no longer limited to applications with access to GPUs. You can now run machine learning ...

Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and ...

The program currently provides health coverage to 70 million people, and cuts to the program could have deep impacts. “The state Legislature reauthorized Medicaid expansion, which is a big deal,” said ...