Abstract: Decoding motor imagery (MI) from electroencephalogram (EEG) signals is a cornerstone of brain–computer interface (BCI) systems. However, existing methods often face a critical tradeoff ...

Researchers have conducted groundbreaking research on memristor-based brain-computer interfaces (BCIs). This research presents an innovative approach for implementing energy-efficient adaptive ...

Teaching the joy of books to preteens is perennially rewarding for Karen Swanson, a reading specialist at Woodhull ...

Three of Maine’s public universities received failing grades in 2023 for one of the most critical things they do: prepare ...

Africa stands at the edge of a historic demographic shift. By 2050, one in three young people in the world will be African. This represents an extraordinary opportunity for the continent to shape ...

This is the official repository of paper Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching. We propose Distilled Decoding (DD) to distill a pre-trained image ...

Across nearly every state, new legislation is reshaping the way schools approach reading instruction, aiming to improve outcomes for all students, including those with dyslexia, by requiring ...

A major new report, Effective Reading Instruction in Low- and Middle-Income Countries: What the Evidence Shows, has shed new light on how to end the global literacy crisis that is leaving millions of ...

A new report, based on 120 studies on effective reading instruction conducted across Africa, Asia, Latin America, and the Middle East and covering more than 170 different languages, finds that ...

Abstract: Ordered statistics decoding (OSD) can achieve near maximum likelihood (ML) decoding performance for BCH codes. However, Gaussian elimination (GE) that delivers the systematic generator ...

A team of researchers from Meta Superintelligence Labs, National University of Singapore and Rice University has unveiled REFRAG (REpresentation For RAG), a decoding framework that rethinks ...