A documentary about Google DeepMind has become wildly popular. Before he turned his attention to AI, the film’s director ...

Create a no-code AI researcher with two research modes and verifiable links, so you get quick answers and deeper findings ...

Deep Learning Crash Course: A Hands-On, Project-Based Introduction to Artificial Intelligence is written by Giovanni Volpe, Benjamin Midtvedt, Jesús Pineda, Henrik Klein Moberg, Harshith Bachimanchi, ...

Project UPWARDS has culminated in the manufacture, physical testing and validation of a disposal-ready Universal Canister System for used nuclear fuel and high-level radioactive waste from advanced ...

This article originally appeared on The Conversation. Since the release of ChatGPT in late 2022, millions of people have started using large language models to access knowledge. And it’s easy to ...

Learn step-by-step how to plan and execute deep learning projects tailored for business success. Boost your company’s AI capabilities with proven strategies! #DeepLearning #AIforBusiness ...

Introduction: The COVID-19 pandemic accelerated global online education, which faces “shallow learning” challenges. Deep learning is key to student competencies. Based on sociocultural theory, this ...

BP has sanctioned its wholly-owned $5 billion Tiber-Guadalupe deep-water project, marking the second time in the past two years that it has reached a final investment decision for a major US Gulf ...

This project implements a Convolutional Neural Network (CNN) to classify images using TensorFlow /Keras. It was created as part of Task 2 of the Data-Science internship assignment. Default dataset: ...

In a sun-drenched Nevada desert, the Gemini project became America’s largest dispatchable single-phase solar + storage system, powering up to 10% of Nevada’s peak demand. This POWER Top Plant award ...

This study presents DeepTX, a valuable methodological tool that integrates mechanistic stochastic models with single-cell RNA sequencing data to infer transcriptional burst kinetics at genome scale.

Implementation of multiple deep learning models using Keras Functional API, including a CNN on MNIST, a multi-input/multi-output example, and a toy ResNet on CIFAR-10 ...