Mass General Brigham researchers are betting that the next big leap in brain medicine will come from teaching artificial ...

A marriage of formal methods and LLMs seeks to harness the strengths of both.

Abstract: This paper discusses two encoders: EfficientNet- b7 and Mit-b5. They are investigated to effectively solve the complex problem of segmenting asbestos veins in rocks. Models based on these ...

In robotics, movements must be precise and well-controlled. As robots are asked to do more as industry becomes more familiar with the technology, there will be an increasing need for high accuracy ...

Large language models (LLMs) have changed the game for machine translation (MT). LLMs vary in architecture, ranging from decoder-only designs to encoder-decoder frameworks. Encoder-decoder models, ...

NEW YORK — With NAB Show New York now concluded, ENCO has formally debuted its first closed caption encoder. Introducing DoCaption EN848, available separately or as part of ENCO’s enCaption system. It ...

Abstract: With the evolution of self-supervised learning, the pre-training paradigm has emerged as a predominant solution within the deep learning landscape. Model providers furnish pre-trained ...

There is an ever-increasing demand for accuracy in many manufacturing industries. Adding to this general need for higher accuracy is the fact that industry sectors such as semiconductors and ...