Abstract: Federated learning (FL) has been popular recently as a framework for training machine learning (ML) models in a distributed and privacy-preserving manner. Traditional FL frameworks often ...

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While prompt engineering will remain vital, getting consistent, situationally aware results from AI models will require IT ...

Abstract: This paper proposes a new global model aggregation method based on using zero-knowledge federated learning (ZKFL). The purpose is to secure horizontal or P2P federated machine learning ...

During Hollywood’s “Golden Age,” large studios operated like industrial-era giants, keeping vast talent pools—actors, ...

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Introduction Antimicrobial resistance (AMR) is a pressing global health problem disproportionately affecting low- and ...

We came across a bullish thesis on Atlassian Corporation on Darius Dark Investing’s Substack. In this article, we will ...

Brands are rethinking agency partnerships amid rising costs and in-housing. Read about why this is happening and what it ...

(1) We released the 50 diffusion steps model (instead of 1000 steps) which runs 20X faster with comparable results. (2) Calling CLIP just once and caching the result runs 2X faster for all models.