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

A time sequence multimodal deep learning method combining acceleration and frequency domain signal for bearing fault diagnosis

Abstract: The performance of traditional bearing fault diagnosis methods is substantially improved by applying deep learning methods. However, enhancement in the accuracy of prevailing unimodal ...
IEEE

Integrating Deep Learning and Python for Effective Sign Language Recognition

Abstract: The advancement in technology has improved the accessibility of communications for a person with hearing impairment significantly. A full implementation approach for sign language ...