Discover how Python is evolving in 2025 with new tools, frameworks, and trends shaping AI, data science, and API development.

Overview PyTorch and JAX dominate research while TensorFlow and OneFlow excel in large-scale AI trainingHugging Face ...

In today's data-driven environment, Python has become the mainstream language in the fields of machine learning and data science due to its concise syntax, rich library support, and active community, ...

India has a unique opportunity: instead of facing a talent shortage, it can position itself as a global supplier of AI-ready professionals by embedding apprenticeships throughout the AI ecosystem.

The core advantage of the Ark Framework lies in its deep integration with Python. Researchers familiar with machine learning can quickly get started, utilizing their existing Python knowledge and ...

Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

When it comes to AI, many enterprises seem to be stuck in the prototype phase. Teams can be constrained by GPU capacity and ...

WorldQuant University (WQU) has launched the Deep Learning Fundamentals Lab, a free, 16-week online certificate program ...

A research team has developed a novel deep learning approach that significantly improves the accuracy of assessing plant leaf ...

A research team presents XFruitSeg, a deep learning model designed to accurately segment three-dimensional computed tomography (CT) images of plant fruits.

Many retail myths around product launches still persist—from overstocking safety stock to over-relying on historical data.