Neural networks first treat sentences like puzzles solved by word order, but once they read enough, a tipping point sends ...

Software 2.0: The era of neural networks, where instead of hand-coding rules, developers train models by feeding them data. The “code” becomes the model’s weights, refined through optimization rather ...

Neuromorphic vision is a bio-inspired technology that has triggered a paradigm shift in the computer vision community and is serving as a key enabler for a wide range of applications. This technology ...

Dual-band impedance transformers and matching networks are pivotal components in modern high-frequency systems, facilitating efficient power transfer between disparate circuit elements by ...

Transformer has the function of voltage regulation and distribution, and its normal operation is very important to the Grid. To improve the ability of online transformer fault diagnosis, a transformer ...

We implement a bigram character-level language model, which we will further complexify in followup videos into a modern Transformer language model, like GPT. In this video, the focus is on (1) ...