In this paper, we propose a novel deep learning based technique for automatically identifying inappropriate query suggestions. We propose a novel deep learning architecture called “Convolutional ...

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 this process; ...

The deployment of various sensors including inductive loops, radars, GPS devices, cameras and floating car data (FCD) in intelligent transportation systems generates a stream of heterogeneous data, ...

I've been transcoding videos on handbrake using AV1 which I think is the latest encoder. AV1 on the Mac is often incredibly efficient. I'm talking 3gb -> 300mb efficient. Even tougher material with ...

This repository contains a PyTorch implementation of a sequence-to-sequence model for football commentary generation from a structured events & stats input. The model utilizes Bi-directional LSTM ...

Today, virtually every cutting-edge AI product and model uses a transformer architecture. Large language models (LLMs) such as GPT-4o, LLaMA, Gemini and Claude are all transformer-based, and other AI ...

EVs are no longer just a cleaner alternative to traditional cars; they are increasingly recognized as integral components of a flexible and resilient energy system. This shift is made possible by the ...

In the summer of 2017, a group of Google Brain researchers quietly published a paper that would forever change the trajectory of artificial intelligence. Titled "Attention Is All You Need," this ...