Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
IEEE

Multi-Head Encoder-Decoder Deep Learning Architecture for Flood Segmentation and Mapping Through Multi-Sensor Data Fusion

Abstract: Effective disaster management and response require accurate and timely mapping of floodwater extent. Optical images facilitate easier flood identification, but their limitation with cloud ...
IEEE

A Method for Converting Oracle Stored Procedures to Java Code

Abstract: Based on the strong demand for independent control and the improvement of domestic databases, database localization has become an inevitable trend. In the process of migrating Oracle ...