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 ...

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 ...

The results so far suggest that investing in AI puts multiple rewards within reach. Machine learning has the potential to dramatically speed up the analysis of big data across different domains, ...

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 ...

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 ...

How we built machine learning models using diverse images. Data collections used in this analysis. The Center used seven collections of data to train our models. Each collection has its own unique ...

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

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.