Herein, we review the basic techniques for PV loop measurement, analysis, and interpretation with the aim of providing readers with a deeper understanding of the strengths and limitations of PV ...

In this paper, we developed NeuroSim, a circuit-level macro model that estimates the area, latency, dynamic energy, and leakage power to facilitate the design space exploration of neuro-inspired ...

Abstract: We propose a weighted variational model to estimate both the reflectance and the illumination from an observed image. We show that, though it is widely adopted for ease of modeling, the ...

Sarvam AI has launched a new text-to-speech ... training data for the AI model combined high-quality, diverse audio from multiple speakers and languages. There were code-mixed inputs, proper ...

I reworked that minimalistic version into a library and I added a number of Arduino examples to help you get started. Effort has been taken to keep the code, variables and function names compatible ...

By using innovative AI, this tool doesn’t just analyze code—it transforms entire repositories into structured, step-by-step tutorials, complete with visual aids. It’s a fantastic option for ...

VoiceCraft is a token infilling neural codec language model, that achieves state-of-the-art performance on both speech editing and zero-shot text-to-speech (TTS) on in-the-wild data including ...

Claybrook is an experimental AI model developed by Google and the model’s focus is on web development with an emphasis frontend tasks such as UI/UX coding. Claybrook leverages advanced techniques, ...