The 74

Google DeepMind’s Learnings in Developing an AI Tutor

Class Disrupted guest Irina Jurenka on large language models in education: ‘The stakes are so much higher in learning than in other use cases.’ ...
Tennessean

Global Leading Distribution Transformer Supplier FARADY: A Deep Dive into Innovation

YUEQING, ZHEJIANG, CHINA, January 8, 2026 /EINPresswire.com/ — Farady Electric has made an announcement highlighting comprehensive, strategic enhancement of core ...
Hosted on MSN

Transformers in deep learning: Beginner’s guide explained

We dive into Transformers in Deep Learning, a revolutionary architecture that powers today's cutting-edge models like GPT and BERT. We’ll break down the core concepts behind attention mechanisms, self ...
Scientific Research Publishing

From U-Net to Swin-Unet Transformers: The Next-Generation Advances in Brain Tumor Segmentation with Deep Learning ()

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...
IEEE

Transformer-Based Deep Learning Approaches for Speech-Based Dementia Detection: A Systematic Review

Abstract: As the population of older adults continues growing, so will the need for cost-effective approaches to early dementia detection. Deep learning approaches using patient speech samples show ...
Oak Ridge National Lab

Novel deep learning transformer model for short to sub-seasonal streamflow forecast...

Accurate short-to-subseasonal streamflow forecasts are becoming crucial for effective water management in an increasingly variable climate. However, streamflow forecast remains challenging over ...