WinBuzzer

Byteification: AI2’s New Bolmo AI Model Cuts AI Training Costs by 99%

AI2 has unveiled Bolmo, a byte-level model created by retrofitting its OLMo 3 model with <1% of the compute budget.

Bolmo’s architecture unlocks efficient byte‑level LM training without sacrificing quality

Ai2 releases Bolmo, a new byte-level language model the company hopes would encourage more enterprises to use byte level ...
IEEE

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

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; ...
IEEE

EDSOD: An Encoder-Decoder, Diffusion-model, and Swin-Transformer-based Small Object Detector

Abstract: Small object detection (SOD) given aerial images suffers from an information imbalance across different feature scales. This makes it extremely challenging to perform accurate SOD. Existing ...
GitHub

GCP-VQVAE: A Geometry-Complete Language for Protein 3D Structure

Converting protein tertiary structure into discrete tokens via vector-quantized variational autoencoders (VQ-VAEs) creates a language of 3D geometry and provides a natural interface between sequence ...
GitHub

encoder-decoder-architecture

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