With the development of machine learning for decades, there are still many problems unsolved, such as image recognition and location detection, image classification, image generation, speech ...

Image processing is used in pattern recognition to identify the items in an image, and machine learning is then used to train the system to recognise changes in patterns. Pattern recognition is ...

Machine strengths. Machine learning already does much better on simple images that only have one thing in the frame. "The systems are getting to be as good as an untrained human," Platt claims.

Recent advances in artificial intelligence have significantly improved spectral data analysis. In this study, we used unsupervised machine learning to classify chemical compounds based on infrared (IR ...

Advanced capabilities for image retrieval and processing are relatively new and powered to a large extent by advances in machine learning technology. We present a brief history of this space, and ...

Moodstocks’ team will work on image and item recognition features for Google. (Credit: goodluz / Shutterstock) Google announced today it has acquired Paris-based machine learning startup ...

Developed an image processing system to recognize food items and estimate their calorie content using machine learning models, aiding in dietary management. Implemented computer vision algorithms to ...

With the development of machine learning for decades, there are still many problems unsolved, such as image recognition and location detection, image classification, image generation, speech ...