Discover how AI is transforming nutritional science by turning complex diet and omics data into predictive tools that reshape chronic disease prevention and personalized care.
AllAfrica on MSN
Raw data, refined elsewhere
The Infrastructure gap threatening Uganda's AI IndependenceKampala, Uganda | IAN KATUSIIME | For Uganda, a nation with a young, tech-hungry population and a budding startup ecosystem, the race to ...
With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.
Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
Qdrant is releasing platform version 1.17.0-updating search latency, introducing relevance feedback query, and deploying greater operational observability. This release introduces a new Relevance ...
The success of real-time digital systems comes from optimizing processing for the most important tasks rather than speeding up overall execution.
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What is ‘Edge AI’? What does it do and what can be gained from this alternative to cloud computing?
Does cloud-free AI have the cutting-edge over data processing and storage on centralised, remote servers by providers like ...
Endee.io launches Endee, an open source vector database delivering fast, accurate, and cost-efficient AI and semantic ...
This repository contains the code and data for the paper Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation by Gérôme Andry, Sacha Lewin, François Rozet, Omer ...
This repository contains code to replicate the simulation study and empirical illustration in Haimerl, P., Smeekes, S., & Wilms, I. (2025). Estimation of latent group ...
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