Kamal Mann is a Software Architect with over 22 years of experience in Industry 4.0 systems. He currently advises on edge ...

The Parsing Service interacts with the static analysis tools that generate abstract representations in the form of TypeData, methodData and invocationData. This service transforms these results into ...

Abstract: Low-rank matrix decomposition is effective for sparse recovery. However, the conventions are limited in accuracy for high-resolution synthetic aperture radar (SAR) imagery due to the ...

Abstract: Matrix factorization is a fundamental characterization model in machine learning and is usually solved using mathematical decomposition reconstruction loss. However, matrix factorization is ...

You can stop looking for glitches in the Matrix—it’s finally been proven that our universe is not merely a simulation running on some powerful alien civilization’s supercomputer. An international team ...

Tensor Extraction of Latent Features (T-ELF). Within T-ELF's arsenal are non-negative matrix and tensor factorization solutions, equipped with automatic model determination (also known as the ...

Liam Gaughan is a film and TV writer at Collider. He has been writing film reviews and news coverage for ten years. Between relentlessly adding new titles to his watchlist and attending as many ...

Streaming has undoubtedly changed how we watch movies. While nothing can replace the theatrical experience, the pros of streaming ultimately outweigh the cons. That being said, the prices are getting ...

You can now order an “Iron Dome” for mosquitoes. Its name is the Photon Matrix, a black box about the size of a smartphone that can detect, track, and eliminate mosquitoes mid-flight using an ...

When you watch “The Matrix” at Cosm, you’re essentially seeing a film within a film. A shot inside an apartment becomes a glimpse into an entire complex. A fight scene on a rooftop is now one small ...