IEEE

Raman Spectroscopy Pre-Trained Encoder: A Self-Supervised Learning Approach for Data-Efficient Domain-Independent Spectroscopy Analysis

Abstract: Deep-learning methods have boosted the analytical power of Raman spectroscopy, yet they still require large, task-specific, labeled datasets and often fail to transfer across application ...
IEEE

Bidirectional-Graph Attention Networks Parallel Encoder for Data Imputation and Fault Diagnosis of Industrial Robots

Abstract: Safe operation is a key concern for industrial robots. However, due to hardware failures and unstable data transmission issues, the multivariate time-series data generated by these axes ...
Digi Times

Texas Instruments executive discusses high-voltage power architecture for AI data centers

Texas Instruments (TI) plans to showcase its 800V power architecture-based AI data center solutions at Computex 2026, featuring applications in humanoid robots, automotive, and edge AI. Ahead of the ...
Journal of Medical Internet Research

Using Large Language Models to Detect Depression From User-Generated Diary Text Data as a Novel Approach in Digital Mental Health Screening: Instrument Validation Study

We aimed to validate the value of the semistructured diary text data as an EMA data source. Methods: Participants were assessed for depression using the Patient Health Questionnaire and suicide risk ...
Digi Times

Texas Instruments eyes further price hikes amid strong data center, industrial chip demand

Texas Instruments (TI) reported robust results for the first quarter of 2026 on April 23, driven by surging AI data center demand and a notable rebound in industrial control applications. TI stressed ...