Jaewon Hur (Seoul National University), Juheon Yi (Nokia Bell Labs, Cambridge, UK), Cheolwoo Myung (Seoul National University), Sangyun Kim (Seoul National University), Youngki Lee (Seoul National ...

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and ...

Roles that barely existed a few years ago, such as large language model (LLM) specialists, AI product leads and data pipeline ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

The Chinese AI lab may have just found a way to train advanced LLMs in a manner that's practical and scalable, even for more cash-strapped developers.

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

Tiiny AI has released a new demo showing how its personal AI computer can be connected to older PCs and run without an ...

China’s DeepSeek has published new research showing how AI training can be made more efficient despite chip constraints.

How do caterpillars keep memories after dissolving into soup? How do we transform without fragmenting? A new AI architecture ...

DeepSeek has released a new AI training method that analysts say is a "breakthrough" for scaling large language models.