The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

The fund seeks to enable researchers to make leaps rather than incremental advances in the natural sciences and engineering.

Algorithms are the backbone of everyday life. From social media feeds and streaming services to advertising and the business world, these computer instructions have become more sophisticated at ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a ...

Reinforcement learning algorithm enables hydraulic power without power switching complications, enabling improved energy ...

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

The truth is that most AI systems today are amoral. They maximize whatever objective we give them while outsourcing ethics to ...