Rail Vision: Quantum Transportation Delivers First Transformer-Based Neural Decoder for Universal Quantum Error Correction

Achieves superior decoding accuracy and dramatically improved efficiency compared to leading classical algorithmsRa’anana, Israel, Jan. 15, 2026 ...
Learn With Jay on MSN

GPT architecture explained: Build ChatGPT from scratch

In this video, we explore the GPT Architecture in depth and uncover how it forms the foundation of powerful AI systems like ...
VentureBeat

New transformer architecture can make language models faster and resource-efficient

Large language models like ChatGPT and Llama-2 are notorious for their extensive memory and computational demands, making them costly to run. Trimming even a small fraction of their size can lead to ...
VentureBeat

Meta's new BLT architecture replaces tokens to make LLMs more efficient and versatile

The AI research community continues to find new ways to improve large language models (LLMs), the latest being a new architecture introduced by scientists at Meta and the University of Washington.
Design-Reuse

A Low Complexity Parallel Architecture of Turbo Decoder Based on QPP Interleaver for 3GPP-LTE/LTE-A

This paper propose an improved method called the modified warm-up-free parallel window(PW) MAP decoding schemes to implement highly-parallel Turbo decoder architecture based on the QPP(Quadratic ...