Alphabet’s TorchTPU push targets Nvidia with competitive AI hardware/software and key data center assets via Intersect. Click ...
Nvidia announced DLSS 4.5 at CES today, an update to its deep learning super sampling (DLSS) feature that improves image ...
Discover the top AI skills in high demand for 2026. Learn about machine learning, generative AI, and other essential ...
This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
Polymage Labs, a deep-tech startup incubated at the IISC, has entered into a strategic collaboration with US-based Tenstorrent Inc to develop an AI compiler for the company’s accelerators, it said on ...
Jaewon Hur (Seoul National University), Juheon Yi (Nokia Bell Labs, Cambridge, UK), Cheolwoo Myung (Seoul National University), Sangyun Kim (Seoul National University), Youngki Lee (Seoul National ...
Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...
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:  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 ...