Meta’s Brain2Qwerty v2 turns thoughts into text, and it doesn’t need brain implants

Meta has unveiled Brain2Qwerty v2, an AI system that converts brain activity into text without surgery, bringing assistive ...

In 1989, Yann LeCun helped show that neural networks could read handwritten ZIP codes, laying groundwork for systems that later read bank checks

In 1989, a computer scientist tackled the messy challenge of reading handwritten zip codes for the US Post Office. This ...
IEEE

Deriving Good LDPC Convolutional Codes from LDPC Block Codes

Abstract: Low-density parity-check (LDPC) convolutional codes are capable of achieving excellent performance with low encoding and decoding complexity. In this paper, we discuss several ...
IEEE

Interleaved Concatenations of Polar Codes With BCH and Convolutional Codes

Abstract: We analyze interleaved concatenation schemes of polar codes with outer binary BCH codes and convolutional codes. We show that both BCH-polar and Conv-polar ...
Scientific Research Publishing

Viterbi, A. (1967) Error Bounds for Convolutional Codes and an Asymptotically Optimum Decoding Algorithm. IEEE Transactions on Information Theory, 13, 260-269.

ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...
GitHub

Code for the ICML 2021 (long talk) paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"

pip install -r requirements.txt pip install -e . If you use any part of this code and pretrained weights for your own purpose, please cite our paper. @InProceedings ...
Embedded

Understanding convolutional neural networks

The world of artificial intelligence (AI) is rapidly evolving, and AI is increasingly enabling applications that were previously unattainable or very difficult to implement. A subsequent article, ...