The next frontier in automotive AI is about equipping vehicles to learn, adapt and evolve through orchestrated data that ...
New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers ...
Introduction Artificial Intelligence lives on data. Without data, large language models (LLMs) cannot learn, adapt, or make ...
Yes Madam’s cofounder and CMO, Akanksha Vishnoi, shared how the platform posted a 233% revenue jump within two years ...
Background The annual births in our hospital (a regional perinatal centre for the southeastern coastal region) had increased ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
Fort Lauderdale, Florida – December 18, 2025 – PRESSADVANTAGE – Blue Interactive Agency in Fort Lauderdale, Florida, announced the introduction of an AI-driven local content scaling framework designed ...
Abstract: Nowadays, task-based functional magnetic resonance imaging (fMRI) plays a pivotal role in understanding the functional organization of human brain. Despite the introduction of various deep ...
Introduction The COVID-19 pandemic highlighted the significance of mathematical modelling in decision-making and the limited capacity in many low-income and middle-income countries (LMICs). Thus, we ...
A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.
When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...
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