The Secret Of Why These Eleven Words Are Prominently Included When You Ask AI To Write A Creative Story

Latest AI mystery is that there are 11 specific nouns used frequently by LLMs when creating short stories. Why those words?
IEEE

An Adaptive Deep Learning Based Short-Term Wind Speed Forecasting Model for Variable Terrain Conditions

Abstract: Wind flow can be highly unpredictable suffer substantial fluctuations in speed and direction due to the shape and height of hills, mountains, and valleys, making accurate wind speed (WS) ...
Ars Technica

LLMs believe false statements even after explicit warnings that they’re false

Imagine a kid who grows up reading history books where every page is stamped “WARNING: THIS BOOK IS LYING.” You’d expect them to come away skeptical, or at least uncertain. New research on so-called ...
Scientific Research Publishing

An Optimized Port Operation Efficiency Prediction Model Based on ESN and LSTM ()

With the in-depth digital transformation of the global shipping industry, the accurate prediction of smart port operation efficiency has become a key factor in enhancing the competitiveness of ...
GitHub

salesforce/pytorch-qrnn: PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM

This repository contains a PyTorch implementation of Salesforce Research's Quasi-Recurrent Neural Networks paper. The QRNN provides similar accuracy to the LSTM but can be betwen 2 and 17 times faster ...
GitHub

Bitcoin Realized Volatility Forecasting with GARCH and Multivariate LSTM

├── README.md <-- Main README file explaining the project's business case, │ methodology, and findings │ ├── Notebooks <-- Jupyter Notebooks for exploration and presentation │ └── Exploratory <-- ...
Frontiers

Using Long Short-Term Memory (LSTM) recurrent neural networks to classify unprocessed EEG for seizure prediction

Seizure prediction could improve quality of life for patients through removing uncertainty and providing an opportunity for acute treatments. Most seizure prediction models use feature engineering to ...