A study on visual language models explores how shared semantic frameworks improve image–text understanding across ...
The Uttar Pradesh Police dismantled an inter-state cyber fraud syndicate with international ties. Five individuals were arrested in Bareilly for orchestrating a complex web of deceit involving digital ...
Researchers have proposed a Fourier graph neural network for estimating the state of health of lithium-ion batteries while ...
Bringing a single drug to market can take more than a decade and cost billions of dollars, with fewer than one in ten candidates successfully reaching approval. Against this backdrop, generative AI is ...
Arcani's HARK passive acoustic drone detection system isolates signals in complex battlefield conditions to detect, classify ...
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How do different data preprocessing techniques affect performance of machine learning models on prediction tasks?
Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...
The University of Bonn is hosting a new Emmy Noether Group devoted to AI methods. Junior Professor Marc Rußwurm is developing ...
This year, we expect to see significant progress in one of the technology shifts required to implement 6G: the rise of ...
Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
NVIDIA showcases Neural Texture Compression at GTC 2026, cutting VRAM usage by up to 85% with real-time AI reconstruction.
BACKGROUND: Preeclampsia affects approximately 1 in 10 pregnancies, leading to severe complications and long-term health ...
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