Moving Fast And Learning From Mistakes Yields More Profits Than Waiting

Research shows companies that move fast and iterate early outperform slower rivals by capturing market share, improving ...

MIT’s new ‘recursive’ framework lets LLMs process 10 million tokens without context rot

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...
IEEE

A three-station time difference of arrival localization algorithm for terrestrial and sea surface scenarios based on iterative search

Abstract: In addressing the three-station time difference of arrival localization problem for terrestrial and sea surface targets, this study exploits the correspondence between z in the geodetic ...
IEEE

Corrections to “MSRFSR: Multi-Stage Refining Face Super-Resolution With Iterative Collaboration Between Face Recovery and Landmark Estimation”

Abstract: Presents corrections to the paper, (Corrections to “MSRFSR: Multi-Stage Refining Face Super-Resolution With Iterative Collaboration Between Face Recovery and Landmark Estimation”).