If you run LLMs locally, these are the settings you need to be aware of.

For almost a century, psychologists and neuroscientists have been trying to understand how humans memorize different types of information, ranging from knowledge or facts to the recollection of ...

Many Qwen LLMs are among the most popular models on Hugging Face (Fig. 1). Qwen is continuously developing the models: after the convincing Qwen3 release in April 2025, the provider introduced a new ...

Abstract: Image processing is one of the most promising applications for quantum machine learning. Quanvolutional neural networks with nontrainable parameters are the preferred solution to run on ...

Neural encoding is the study of how neurons represent information with electrical activity (action potentials) at the level of individual cells or in networks of neurons. Studies of neural encoding ...

Abstract: We investigate information-theoretic limits and design of communication under receiver quantization. Unlike most existing studies that focus on low-resolution quantization, this work is more ...

Neural decoding remains constrained by methods that miss the brain’s chemical signalling dimension. In this Review, Kim and Park discuss hybrid and transformative neurochemical interfaces that provide ...

Vibe coding is a natural language-driven, AI-assisted way to build software. Instead of writing every line of code by hand, you describe what you want via natural language prompts to an agentic AI ...

@inproceedings{chen2024mixed, title={Mixed-precision quantization for federated learning on resource-constrained heterogeneous devices}, author={Chen, Huancheng and Vikalo, Haris}, ...