Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and ...

A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...

Overview: AI skills in 2026 require both technical understanding and the ability to apply them responsibly at work.Machine ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

JAX is one of the fastest-growing tools in machine learning, and this video breaks it down in just 100 seconds. We explain ...

00 - PyTorch Fundamentals Many fundamental PyTorch operations used for deep learning and neural networks. Go to exercises & extra-curriculum Go to slides 01 - PyTorch Workflow Provides an outline for ...

Reinforcement Learning, Explainable AI, Computational Psychiatry, Antidepressant Dose Optimization, Major Depressive Disorder, Treatment Personalization, Clinical Decision Support Share and Cite: de ...

While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to ...

Google teams up with Meta to boost PyTorch support for TPUs, offering developers an alternative to Nvidia-powered AI ...

Google is reportedly planning to reduce Nvidia’s dominance in AI hardware. The company is said to be working with Meta to ...

Google launches 'TorchTPU' initiative to enhance TPU compatibility with PyTorch, aiming to rival Nvidia's GPU market lead ...

Google has reportedly initiated the TorchTPU project to enhance support for the PyTorch machine learning framework on its tensor processing units (TPUs), aiming to challenge the software dominance of ...