Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks.New libraries like JAX, ...

The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

Summary: Ink authentication is often complicated by tampering, aging, and chemical variability. Now, forensic scientists are ...

In a sport where tactics, terrain, weather, and timing all merge into one fluid contest, predicting the outcome of a cycling race can seem like guesswork.

Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...

“ EX.CO ’s AI taxonomy solution has allowed us to deeply tag our extensive video library with a fraction of the necessary ...

Australia-based Tyton Ecological Intelligence (Tyton EI) has launched the world’s first Machine Learning as a Service (MLaaS) ...

Deep learning using multimodal MRI can distinguish Parkinson’s disease from multiple system atrophy with high accuracy, ...

This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...

Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...

Artificial intelligence is accelerating at breakneck speed, with larger models dominating the scene—more parameters, more ...

Ensemble models, comprising multiple algorithms or simulations to improve prediction accuracy, are increasingly being applied ...