Photonics is promising to handle extensive vector multiplications in AI applications. Scientists in China have promoted a programmable and reconfigurable photonic linear vector machine named SUANPAN, ...

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...

A little over a year after it upended the tech industry, DeepSeek is back with another apparent breakthrough: a means to stop current large language models (LLMs) from wasting computational depth on ...

Proof of concept uses passive components to redirect heat across a chip, allowing temperature patterns to be used for data processing.

Abstract: This work extends a matrix-based numerical methodology to cover fully canonical generalized Chevyshev (GC) transfer functions by reconfiguring canonical filter topologies into dangling ...

Abstract: Spectral efficiency is the key factor for planning any future communication systems. The Shannon formula demonstrates that spectral efficiency is a hard and challenging problem. The possible ...

There is only first 6 values can be specified, you only provide 6 values to the matrix transformation function. Here is an example: Note: the values for cos(a) and sin(a) have to be precomputed before ...

The fine-tuning technique in deep learning gives rise to an emerging lineage relationship among models. This lineage provides a promising perspective for addressing security concerns such as ...