The key requirement for developing an AI based vulnerability detector model from a developer perspective is to identify which AI model to adopt, availability of labelled dataset, how to represent ...

boldsymbol{-}\boldsymbol{2}^{\boldsymbol{n}}$ universal decoder model is further developed. This study presents an effective method for implementing complex nonlinear logic circuits through DNA strand ...

Cognichip has a lofty goal of creating a foundational AI model that can help bring new ... “We’re not building an [electronic design automation] tool, we’re not trying to tweak the process ...

The paper moves beyond the architectural specifics of DeepSeek-V3 to explore how hardware-aware model co-design can effectively address the limitations of current hardware, ultimately enabling ...

AI startup Stability AI has released Stable Audio Open Small, a “stereo” audio-generating AI model that the company claims is the fastest on the market — and efficient enough to run on ...

Tokenizers for embedding models are not often implemented in languages other than Python. This becomes a major obstacle when trying to use embedding models in languages like C# or Java. Developers ...

Hapi is an open-source Python Framework for building raster-based conceptual distributed hydrological models using HBV96 lumped model & Muskingum routing method at a catchment scale (Farrag & Corzo, ...

The Journal of Applied Physics recently selected Upmanyu's new research paper on alloy design as an Editor's Pick. The paper introduces a new computational model that offers strategies for alloy ...