New Artificial Neurons Physically Replicate the Brain

A breakthrough in neuromorphic computing could lower the energy consumption of chips and accelerate progress toward artificial general intelligence (AGI). Researchers from the USC Viterbi School of En ...
Frontiers

Research on the Mechanisms, Interpretability, and Modeling of Mental Health Disorders with AI Assistance

The rising prevalence of mental health disorders has made them a major public health challenge. These conditions exhibit complex pathological mechanisms and ...
Slator

Intento Releases 9th Annual “State of Translation Automation 2025” Industry Report

San Francisco, California — [Oct 30, 2025] — Intento has released its 9th annual industry report, The State of Translation ...
IEEE

An Intelligent Error Detection Model for Machine Translation Using Composite Neural Network-Based Semantic Perception

Abstract: Although machine translation has received great progress in recent years, machine translation results usually existed some errors due to the complex ...
IEEE

Epi-Curriculum: Episodic Curriculum Learning for Low-Resource Domain Adaptation in Neural Machine Translation

Abstract: Neural machine translation (NMT) models have achieved comparable results to human translation with a large number of parallel corpora available. However, their performance remains poor when ...
C&EN

Neural Ordinary Differential Equation and Supervised Gated Recurrent Units Embedded with Historical Variables for Petrochemical Process Prediction

Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China ...