Overview A mix of beginner and advanced-level books to suit various learning needs.Each book blends theory with practical ...
Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...
Overview PyTorch and JAX dominate research while TensorFlow and OneFlow excel in large-scale AI trainingHugging Face ...
To meet urgent net-zero goals, the global energy system is shifting from fossil fuels to renewable sources such as solar and wind. Because these ...
Researchers at University College Dublin have demonstrated a bare-metal RISC-V System-on-Chip (SoC) with the open-source NVIDIA Deep Learning Accelerator (NVDLA), removing the need for a full ...
Deep learning models, particularly Convolutional Neural Networks (CNN), are the core technologies for current Chinese handwriting recognition. The workflow can be summarized in the following steps: ...
Altuna Akalin and his team at the Max Delbrück Center have developed a new tool to more precisely guide cancer treatment. Described in a paper published in “Nature Communications,” the tool, called ...
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