Discover how data augmentation improves generalization and robustness of machine learning models by enhancing the size and diversity of datasets with transformations like rotation, translation, scaling or adding noise. With larger datasets, machine learning models become more resilient to overfitting, more robust to changes in the real world and training processes more cost-effective. Read this article to know more about the different data augmentation techniques for various data types and how to strike a balance between variability and dataset integrity. Boost your machine learning algorithms' performance by building more accurate and robust models with data augmentation.
Discover a new machine learning solution for autism detection that uses a non-invasive approach and advanced Federated Learning. With 99% accuracy, this model is designed to detect ASD at different age stages with maximum accuracy, controlled expenses, and minimum time.
Discover the latest advancements in Artificial Intelligence (AI) that are permeating modern life, from entertainment to business and even dating. Learn about neural networks, generative AI, and the key players in the industry. Stay informed as this rapidly-changing landscape transforms our world. #AI #technology #neuralnetworks #innovation
OpenAI aims to tackle AI hallucinations and improve explainable AI with their new process supervision approach, despite skepticism from some experts. #artificialintelligence #OpenAI
Explore the evolution of tech policy from Obama's optimism to Harris's vision at the Democratic National Convention. What's next for Democrats in tech?