Human-Produced Content And Experts Are Crucial To Prevent LLM “Model Collapse”

Most critically, GenAI models are running out of human-produced training data. Every scrap of freely available text has ...

Peering inside political AI: How LLMs responded to the 2024 election

In the months leading up to the 2024 U.S. presidential election, a team of researchers at MIT CSAIL, MIT Sloan, MIT LIDS, set ...

LinkedIn is using your data to train its AI models. Here’s how to opt out

Disabling this setting prevents your data from being used, but data already used for training can't be taken back ...
IEEE

An Energy-Based Method for Predicting Battery Aging using Newly Constructed Features in Fractal Gradient-Enhanced LSTM Networks

Abstract: As an effective way, the incremental capacity analysis (ICA) method has been widely adopted in the battery aging prediction field. Using the aging features from the ICA method, the success ...
IEEE

Speech Depression Recognition from the Selfreference Effect Using LSTM with ResNet

Abstract: Deep neural networks (DNNs) have recently achieved great success in various learning tasks and have also been used for the classification of depression. While DNNs are showing their ...