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 ...

You can manage diverse sets of data such as IoT data, text, images, audio, video, system logs and relational data. You can also conduct real-time reporting and analysis and maintain it all in a ...

However, the output of digital image processing may be an image or information associated with that image, such as data on features, attributes, and bounding boxes. According to a report published by ...

SINAP depends on deep learning-based image analysis, leading to a strong segmentation for virtually any biological structure. AI-powered data analytics Users can leverage the power of machine ...

Machine Learning-Based Analysis of Molar and Enantiomeric Ratios and Reaction Yields Using Images of Solid Mixtures. Industrial & Engineering Chemistry Research , 2023; DOI: 10.1021/acs.iecr ...

Introduction to bioprocess data analytics: opportunities, types of data analytics problems; supervised, unsupervised, and partially supervised learning; data visualization (software tools using data ...

This powerful, web-based integrated development environment (IDE) provides a flexible and interactive workspace for performing data analysis, machine learning, and visualization, making it ...

As a result, NLP greatly extends the capabilities and effectiveness of machine learning. The Deepfake Challenge Then, there is the “most entertaining” fraud of them all: deepfakes.

Amazon has been testing a machine learning software in space that can analyze Earth observation images on its own and send only the best ones to Earth.

A thermal imaging system that uses machine learning to disentangle the information contained in infrared images has been unveiled by researchers at Purdue University in the US. Dubbed HADAR, the ...