Career Wise: 5 High-Paying AI Jobs That Will Be In Demand Over The Next Decade

Jobs related to AI offer attractive salaries and significant growth potential. For students or professionals aiming for a ...
Frontiers

Evolving challenges and breakthroughs in deep learning-driven medical imaging

Deep learning and artificial intelligence are driving a transformative era in medical imaging, ushering in advanced tools for ...

Chongwei Shi Advances Biostatistical Methods and Computational Biology Through Deep Learning and Statistical Shape Analysis

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
Daily Excelsior

Best AI & Data Science Courses that Blend Data Engineering, ML, and GenAI Skills

Artificial Intelligence and Data Science are among the fastest-growing and most transformative domains in technology today, driving innovation across industries such as healthcare, finance, retail, ...

IIT Madras' SWAYAM Plus launches 6 free online AI courses in Hindi

IIT Madras led learning platform SWAYAM Plus has launched six free AI courses in Hindi. The registration process is ongoing.  | Education News ...

IITM Pravartak launches second cohort of applied artificial intelligence & deep learning programme to accelerate industry adoption

Seven-month LIVE online programme, delivered with TimesPro, builds hands-on capability in Python, TensorFlow, PyTorch, and ...
IEEE

Hybrid Feature Extraction and Deep Learning Framework for Power Transformer Fault Classification: A Real-World Case Study

Abstract: Reliable fault diagnosis in power transformers is paramount for ensuring grid stability and safeguarding critical assets. This paper proposes a novel deep learning-based diagnostic framework ...
IEEE

Toward Deep Semi-Supervised Continual Learning: A Unified Survey for Scalable and Adaptive AI

Abstract: The integration of Deep Semi-Supervised Learning (DSSL) with Continual Learning (CL) holds significant promise for advancing artificial intelligence systems capable of learning from limited ...
GitHub

yifanzhang-pro/deep-delta-learning

The efficacy of deep residual networks is fundamentally predicated on the identity shortcut connection. While this mechanism effectively mitigates the vanishing gradient problem, it imposes a strictly ...