Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

MIT’s Recursive Language Models rethink AI memory by treating documents like searchable environments, enabling models to ...

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...

Overview Most data science work benefits more from stable RAM and CPUs than from GPUs.The best laptops for data science ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...

Abstract: Low-bit-width data formats offer a promising solution for enhancing the energy efficiency of Deep Neural Network (DNN) training accelerators. In this work, we introduce a novel 5.3-bit data ...

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...

Abstract: Pneumonia is one of the most relevant and dangerous chest diseases in the world. It can be detected through images generated by Chest X-Rays (CXR) or CT scans. In recent years, several ...

Machine learning and neural nets can be pretty handy, and people continue to push the envelope of what they can do both in high end server farms as well as slower systems. At the extreme end of the ...