When researchers are building large language models (LLMs), they aim to maximize performance under a particular computational ...

Thanks to a new architecture, the Qwen3-Next model is significantly slimmer than the original models, but similarly powerful.

When it comes to AI, many enterprises seem to be stuck in the prototype phase. Teams can be constrained by GPU capacity and ...

A new technical paper titled “Hardware Acceleration of Kolmogorov-Arnold Network (KAN) in Large-Scale Systems” was published ...

We present an integrated approach to derive multimodal MRI markers of cognition that can be transdiagnostically linked to psychopathology. This demonstrates that the predictive ability of neural ...

The integration of deep learning in biodiesel research accelerates feedstock evaluation and optimizes production, making it competitive with fossil fuels.

Overview: Python and open-source tools make AI development accessible to everyone.Pre-trained models and AutoML speed up ...

The research team developed a hybrid Long Short-Term Memory (QLSTM) model capable of effectively identifying complex patterns ...

Chinese e-commerce giant "Qwen Team" of AI researchers has done it again. After a busy summer in which the AI lab released a whole fleet of new open source AI models with support for English and ...