In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

AI-based analytics form the most impactful pillar in the model, enabling digital twins to conduct pattern recognition, demand ...

Chandrashekar Althati's patented multivariate classification revolutionizes real-time transaction analysis, driving fraud ...

A new fMRI study reveals that our brains encode both what others intend to express emotionally and how we consciously infer ...

A graphene sensor trained by machine learning can now taste like a human, identifying both basic and complex flavors with ...

Apart from simple diagnosis, the study takes an important step toward predictive health monitoring by modeling the risk of ...

Traditional manufacturing processes like equipment maintenance, QA/QC processes, production scheduling and supply chain ...

Intelligent document processing − using AI, machine learning and optical character recognition − allows information to flow ...

LeyesX began as a modest e-commerce idea; it is now planning a huge allocation toward high-performance GPUs, an in-house data-science team, and generative-AI R&D.

Sensome, the pioneer of microsensing technology for real-time, in situ tissue analysis, today announced the publication of a ...

The TMS is the perfect platform between a fleet and its data. In the AI boom, that data is key. Here is how TMS providers are ...

An NYU team uses machine learning to analyze neural activity data and uncover how speech is produced. In a recent paper ...