Microsoft

LLM can Read Spectrogram: Encoder-free Speech-Language Modeling

Recent speech-aware large language models (Speech-LLMs) rely on a pre-trained speech encoder to convert audio into semantic-rich representations consumable by LLM. In this work, instead, we explore: ...
AOL

Tensordyne Claims Massive Speed and Power Improvement Over Nvidia

If simulations are to be believed, startup Tensordyne's new AI chip could crush the performance of market leader Nvidia in terms of energy efficiency and latency for inferencing. The company just sent ...
IEEE

Temporal Convolutional and Fusional Transformer Model With Bi-LSTM Encoder-Decoder for Multi-Time-Window Remaining Useful Life Prediction

Abstract: Health prediction is crucial for ensuring reliability, minimizing downtime, and optimizing maintenance in industrial systems. Remaining Useful Life (RUL) prediction is a key component of ...
IEEE

Graph Neural Networks Powered by Encoder Embedding for Improved Node Learning

Abstract: Graph neural networks (GNNs) have emerged as a powerful framework for a wide range of node-level graph learning tasks. However, their performance typically depends on random or minimally ...
GitHub

VapourSynth filter for exemplar-based video colorization using CMNET2.

Colorizes black-and-white clips by propagating color from reference frames using the CMNET2 deep learning model with a sliding permanent-memory window.