Therefore, parallel computing and acceleration techniques have become crucial in the research and application of neural networks, as they can significantly enhance the performance and efficiency of ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

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

Naomi Saphra thinks that most research into language models focuses too much on the finished product. She’s mining the ...

Explore investment strategies, risks, and growth opportunities in the dynamic AI infrastructure space — plus 3 ETFs to watch.

A research team has studied the development of the Shanghai Typhoon Model from a traditional physics-based regional model ...

The experimental results are exciting: on a single NVIDIA H100 GPU, PMRT can complete training in just 24 hours, achieving an ultra-high precision of 0.975 on the standard test dataset. Even more ...

Traditional machine learning methods like Support Vector Machines, Random Forest, and gradient boosting have shown strong ...

Artificial intelligence has already entered agriculture, with models capable of identifying crop diseases, estimating yields, ...

A look at how the Finnish specialty chemicals company used decades of formulation data to revolutionize its polymer ...

A research team has developed a novel artificial intelligence (AI) system that enables low-cost agricultural robots to “see” ...

Explore how AI servers are revolutionizing enterprise IT architecture and driving scalable digital transformation across ...