JAX is one of the fastest-growing tools in machine learning, and this video breaks it down in just 100 seconds. We explain how JAX uses XLA, JIT compilation, and auto-vectorization to turn ordinary ...

MBZUAI is a research-focused university in Abu Dhabi, and the first university dedicated entirely to the advancement of science through AI. The university empowers the next generation of AI leaders, ...

(BRAIN) — YT Industries USA announced it will close after failing to reach an agreement with YT Industries Germany. YT Germany laid off most of its staff last month, after a private equity investor ...

The choice between PyTorch and TensorFlow remains one of the most debated decisions in AI development. Both frameworks have evolved dramatically since their inception, converging in some areas while ...

Abstract: With an emphasis on convolutional neural networks (CNNs), this research does a thorough analysis of the effectiveness and suitability of the TensorFlow and PyTorch frameworks for image ...

Since TensorFlow (Keras) is lagging behind current Python versions (they don't have wheels for 3.13 yet), we should consider switching to PyTorch, which seems to be much more actively developed. This ...

I ran the simple mnist training following code with the different backends: Tensorflow, Pytorch and Jax. I get similar results with tensorflow and Jax: between 98 and 99% test accuracy but way lower ...

Nasik Muhammad Nafi is a Postdoctoral Research Associate in the Advanced Computing for Life Sciences & Engineering group at the National Center for Computational Sciences division. Prior to joining ...