Salesforce reached 1 million AI-powered customer conversations, showcasing breakthroughs in enterprise automation, AI empathy, and next-generation customer service.

Agentic AI marks a monumental shift, building on Large Language Models with self-reflection and planning. These systems ...

Our research dives into the performance comparison of two popular machine learning approaches: the support vector machine (SVM) and the more recent deep learning-based stacked autoencoder (SAE). We ...

AWS is previewing a specialized storage offering, Amazon S3 Vectors, that it claims can cut the cost of uploading, storing, ...

This study presents a non-invasive approach to detect anxiety and depression through gait analysis and machine learning, ...

According to the Virginia Department of Health (VDH), drug overdose deaths among Virginia residents decreased by 43% in 2024.

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

Memory for the machine: How vector databases power the next generation of AI assistants - SiliconANGLEThe moment an LLM finishes training, its knowledge is already out of date. General-purpose ...

Support vector machine (SVM) is a fundamental machine learning method with solid mathematical theory and high effectiveness in many applications. Because distributed datasets are difficult to ...

Support Vector Machines (SVMs) are a powerful and versatile supervised machine learning algorithm primarily used for classification and regression tasks. They excel in high-dimensional spaces and are ...