In this blog post, we discuss how geoscientists can use shallow RNN-based algorithms with MATLAB to automatically recognize distinct geologic features in seismic images. We discuss the workflow for developing the AI models using MATLAB for …
Read More
In the fast-paced world of movie-making, time is money. Modern films and TV shows can have hundreds, or thousands, of Visual Effects (VFX) shots that need to be created and finalized on tight deadlines. The creation of the final images …
Read More
Calling budding bioinformaticians! If you learn through hands-on practicals and walkthroughs, AWS and GIS have developed training and resources to help you increase the scale and productivity of your research using the AWS cloud. Read the …
Read More
Knowing the physical structure of proteins is an important part of the drug discovery process. Machine learning (ML) algorithms like AlphaFold have revolutionized discoveries leading to usable protein structures. In part one Brian Loyal …
Read More
Introduction Quantum computers hold the promise of driving novel approaches to solving complex problems across multiple fields, including optimization, machine learning, and the simulation of physical systems. Researchers are already using …
Read More
Organizations in regulated industries are frequently required to maintain a copy of their business-critical file data in another location to meet corporate compliance or disaster recovery (DR) mandates. Furthermore, in highly distributed …
Read More
Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). It provides a single, web-based visual interface where you can perform all ML development steps, including preparing data and …
Read More
Introduction The quantum state of a qubit is extremely fragile, as any interaction with its environment generally results in uncontrolled changes. The fragility of quantum states means that errors are a fundamental problem for quantum …
Read More