Page 3: Consciousness and Subjective Experience

Large language models (LLMs) deliver impressive results, but are they truly capable of reaching or surpassing human ...
Business Matters

MachineTranslation.com Redefines Accuracy in AI Translation with 22-Engine Rollout

“That is the power of MachineTranslation.com’s SMART option. You don’t have to rely on a single opinion. SMART compares all ...
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, ...
Morning Overview on MSN

AI uncovers new clues to how the brain decodes speech

Artificial intelligence is starting to do more than transcribe what we say. By learning to read the brain’s own electrical ...
Frontiers

Electrophysiological signatures of semantic and syntactic processing in Primary Progressive Aphasia: integration and re-analysis processes during auditory sentence comprehension

Introduction Investigations of the electrophysiological correlates of language processing in Primary Progressive Aphasia (PPA) have focused on the N400, an event-related potential (ERP) component ...
GitHub

Scripts for pre-processing the CoNLL-2012 dataset for syntactic dependency parsing.

These scripts attempt to replicate the pre-processing of the CoNLL-2012 subset of the OntoNotes corpus described in the paper It Depends: Dependency Parser Comparison Using A Web-based Evaluation Tool ...
Nature

Sensory Processing in Autism: A Review of Neurophysiologic Findings

Atypical sensory-based behaviors are a ubiquitous feature of autism spectrum disorders (ASDs). In this article, we review the neural underpinnings of sensory processing in autism by reviewing the ...
Nature

RNA processing and its regulation: global insights into biological networks

The limited differences between the genomes of very different species have led to the emerging recognition that biological diversity is likely to largely derive from the complexity of RNA. This is ...
Scientific Research Publishing

Applying Deep Learning Techniques for Automated Analysis and Interpretation of Financial Statements ()

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
IEEE

Syntactic and Semantic Aware Graph Convolutional Network for Aspect-Based Sentiment Analysis

Abstract: In recent years, there has been a growing interest in utilizing dependency parsing with graph convolutional networks for aspect-based sentiment analysis. Dependency relations between words ...
IEEE

Efficient Processing of Deep Neural Networks: A Tutorial and Survey

Abstract: Deep neural networks (DNNs) are currently widely used for many artificial intelligence (AI) applications including computer vision, speech recognition, and robotics. While DNNs deliver state ...