The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, medical ...

Edge analytics, supported by Big Data frameworks, enables processing at the source. Companies can train AI models on-device with federated learning, keeping sensitive data decentralized and secure.

Speedata, a Tel Aviv-based startup developing an analytics processing unit (APU) designed to accelerate big data analytic and AI workloads, has raised a $44 million Series B funding round ...

Scientists can now focus more on research and less on routine data processing. To improve accessibility, SCIEX supports the vibrant open-source software community with SCIEX MS Data Converter 2.0.

Data processing enables information to be automatically extracted from data, and could be used in computational biology and bioinformatics to organise a large set of 'omics data. Latest Research ...

According to ITRC, the number of U.S. data breaches in 2020 totaled 1,108—a sharp 19% decrease from 2019, which saw 1,473 data breaches. Far fewer people were affected, too: 300 million, a 66% ...

Reconstruction of seismic data is an important but challenging task in seismic data processing. Different machine-learning-based algorithms have been developed to solve this ill-posed problem and ...

We explore propagation of seismic interpretation by deep learning in stacked 2D sections. We show the application of state-of-the-art image classification algorithms on seismic data. These algorithms ...

Automatic Data Processing Inc. balance sheet, income statement, cash flow, earnings & estimates, ratio and margins. View ADP financial statements in full.

Initially, we conducted denoising and amplitude-preserving processing on the prestack seismic data. The processed data were then stacked by angle, resulting in seismic profiles for azimuth angles of ...

A seismic data processing library with Python bindings - a just-for-fun side project. ... FBD: Multi-channel blind deconvolution with focusing constraints. signal-processing deconvolution blind-source ...