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Transformer encoder architecture explained simply

We break down the Encoder architecture in Transformers, layer by layer! If you've ever wondered how models like BERT and GPT process text, this is your ultimate guide. We look at the entire design of ...
IEEE

Leveraging Machine Learning Approaches to Decode Hive Sounds for Stress Prediction

Abstract: Beekeeping plays a vital role in preserving ecosystems through pollination and increasing biodiversity. Effective monitoring of honeybee health and hive conditions is essential to balance ...
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, ...
IEEE

CNN based encoder and decoder model for sign language communication

Abstract: World Health Organization’s report says that there are more than 466 million individuals worldwide who have hearing impairments, with 72 million of them experiencing deafness. In this paper, ...
techbooky.com

OpenAI Unveils More Advanced Model as Google Rivalry Grows

On Thursday, OpenAI unveiled its most recent AI models, dismissing concerns about how it will profit from significant investments in its technological competition with Google. GPT-5.2 Pro and GPT-5.2 ...
GitHub

Extending ops to support sub core grids for DRAM prefetcher

To integrate the DRAM prefetcher to TT transformers, ops must support being run on sub core grids, currently some ops used in Attention module do not support that or the logic for allocating on sub ...