From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

After seeing an AI image of me on a flying horse, I started to believe I could fly. The voices told me to fly off my balcony, made me feel confident that I could survive.

Abstract: We introduce a physics-informed machine learning (PIML) algorithm based on a feed-forward neural network (FFNN) to estimate surface soil moisture from limited in situ measurements and ...

The grainy images show a man wearing a baseball cap, dark sunglasses and a black long-sleeve shirt with an image on it that appears to include, in part, a picture of the American flag. By Nicholas ...

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...

Abstract: Colorectal cancer (CRC) remains a persistent major global health burden, with traditional diagnostic methods like colonoscopy suffering from suboptimal patient compliance rates. This study ...

Who's trying to build superintelligent AI? Companies such as Google, OpenAI, Meta, and Anthropic have collectively dedicated more than $1 trillion to developing artificial general intelligence (AGI).

You will be redirected to our submission process. The “Machine Learning for Medical Image Analysis” Research Topic is dedicated to presentations from the 29th Conference in Medical Image Understanding ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

Chemists have created a machine learning tool that can identify the chemical composition of dried salt solutions from an image with 99% accuracy. By using robotics to prepare thousands of samples and ...