The ability to predict brain activity from words before they occur can be explained by information shared between neighbouring words, without requiring next-word prediction by the brain.

Schug has written extensively on the role of AI and data science in analytical chemistry in the LCGC Blog. In a recent ...

Patterns of neural activity called theta oscillations have a role in memory encoding but – contrary to current thinking – do not appear to have a role in memory retrieval.

Based on theories from political economy and linguistics, the research argues that language has always been tied to labor.

A tennis return can look almost automatic. The ball comes off the racket, crosses the court in a blur, and somehow a player ...

Schug has written extensively on the role of AI and data science in analytical chemistry in the LCGC Blog. In a recent ...

Abstract: Modification of the optimal recursive block encoding process is commonly adopted in HEVC steganography based on block partitioning structure to embed secret messages, which inevitably ...

Fig.1 Schematic of the experimental setup for continuous-variable entanglement-assisted quantum comumication.Alice encodes classical signals on the ancilla beam by an amplitude modulator (AM) and a ...

Ever opened a file and seen strange symbols or jumbled text? That’s usually an encoding problem; your software isn’t reading the data correctly. The good news is that Microsoft Office makes it easy to ...

Abstract: Character inpainting, a challenging task, has seen slow development. Existing networks focus on either enhancing the encoding process, involving feature extraction or improving the decoding ...

EnDeep4mC is a deep learning framework for predicting DNA N4-methylcytosine sites through dual-adaptive feature encoding and ensemble learning. This repository contains the complete implementation, ...