IEEE

Occluded Person Re-Identification Model using Swin Transformer with Multi-Scale Features

Abstract: Person re-identification is one of the important research directions in computer vision, but existing methods face issues such as low recognition accuracy in occluded scenarios. Recently, ...
eLife

High-Fidelity Neural Speech Reconstruction through an Efficient Acoustic-Linguistic Dual-Pathway Framework

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...
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

PTD-RT: Parkinson's Disease Detection Using Transformer-Based Models and Real-Time Data Integration

Abstract: Due to its mild symptoms, Parkinson's Disease (PD) is challenging to identify in early stages; hence, the data needed for this diagnosis is difficult to get because of which the diagnosis is ...