Processing-in-memory (PiM), a silver bullet for TinyML, is just one tool to execute SLMs and some LLMs effectively at the far ...

Researchers at Hebrew University have developed Annotatability, a groundbreaking framework that uses neural network training ...

Neural implants contain integrated circuits (ICs) -- commonly called chips -- built on silicon. These implants need to be small and flexible to mimic circumstances inside the human body. However, the ...

Uncovering the relationship between structure (connectivity) and function (neuronal activity) is a fundamental question ...

Researchers have explored the potential of deep neural networks (DNNs) in transforming fragrance design. By analyzing the ...

These two men are of different generations (Gates is 69, Altman 39), and their companies presided over different revolutions ...

From deciphering burnt Roman scrolls to reading crumbling cuneiform tablets, neural networks could give researchers more data ...

Geoffrey Hinton is known for his work developing artificial neural networks, the foundation for AI, and won the 2024 Nobel ...

There will never be another year like 2024 again for artificial intelligence. Throughout the year, obscure product demos ...

Summary: Researchers have discovered that pupil size during non-REM sleep correlates with memory consolidation. When pupils ...

In order to uncover the relationship between structure and function, researchers used microfluidic devices to study neuronal ...