IEEE

An Optimized Model With Encoder-Decoder ConvLSTM for Global Ionospheric Forecasting

Abstract: The ionosphere is vital for satellite navigation and radio communication, but observational limitations necessitate ionospheric forecasting. The least squares collocation (LSC) method is ...
the-decoder

Google Deepmind's D4RT model aims to give robots and AR devices more human-like spatial awareness

Researchers at Google DeepMind have developed D4RT, an AI model capable of reconstructing dynamic scenes from videos in four dimensions, combining spatial and temporal data. The system integrates ...
the-decoder

Apple study reveals AI controllability is fragile and varies wildly by task and model

A new theoretical framework shows that controlling language models and image generators is surprisingly fragile and depends heavily on the specific task and model. Generating an even or odd number on ...
GitHub

Implicit Neural Representation Facilitates Unified Universal Vision Encoding

This repository contains code and models for vision transformers that generate representations which not only do well for standard recognition tasks (classification, segmentation), but also support ...
IEEE

Evaluation of Encoder-Only Transformer for Multi-Step Traffic Flow Prediction

Abstract: Traffic flow prediction is critical for Intelligent Transportation Systems to alleviate congestion and optimize traffic management. The existing basic Encoder-Decoder Transformer model for ...