Spire.AI Empollination and CrossKnowledge Capabl partner to deliver contextual learning aligned to evolving enterprise ...

This section highlights a number of compelling use case examples focusing on the use of AI and deep learning for the solution of important problems across a wide spectrum of domains. The examples ...

Recent research (2024-2025) consistently demonstrates the advantages of integrated AI-VR training: Knowledge Acquisition: ...

The drive for artificial intelligence adoption echoes through boardrooms and development teams across virtually every industry. Fueled by the promise of transformative operational efficiencies and new ...

Overview AI is speeding up drug discovery by analyzing large biological and chemical data in a short time.Deep learning and AI systems help design new drug mole ...

On Wednesday, Google's DeepMind AI research lab announced AlphaGenome, an AI model designed to identify disease markers in large volumes of genetic data. It's badly needed in a field that has produced ...

Artificial Intelligence (AI) and Deep Learning (DL) represent some of the most demanding workloads in modern computing history as they present unique challenges to compute, storage and network ...

AI algorithms analyse complex medical images with speed and precision, supporting early disease detection.Radiology and ...

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

From smarter flight planning to personalised airport experience, AI is changing how we fly, often behind the scenes, but with ...

Artificial Intelligence (AI) is revolutionizing the dynamics of technological advancement in the field of medical imaging, ...