Real estate investment management firm will bring the AI startup in-house for its debt brokerage subsidiary George Smith ...
Vernon, an industrial town with just a little more than 200 residents, has become Southern California’s unlikely AI data ...
Abstract: Sparse Vector Coding (SVC) is a novel coding scheme of short packet transmission in Ultra-Reliable Low-Latency Communication (URLLC). SVC is usually modeled as a standard Compressed Sensing ...
Traditional cloud architectures are buckling under the weight of generative AI. To move from pilots to production, ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
Encapsulated microbubbles (EMBs), tiny gas-filled bubbles coated in lipid or protein shells, play a central role in ...
OWASP's new Agentic AI Top 10 highlights real-world attacks already targeting autonomous AI systems, from goal hijacking to ...
Researchers from Kyushu University have developed an innovative computational method, called ddHodge, that can reconstruct ...
The discovery is the first direct observational confirmation of a theory for how young stars feed on, and then explosively ...
Recently, micro/nanosatellites have become a significant trend in space with the rapid development of space technology, ...
These 12 notoriously unreliable used SUVs have a history of costly repairs, breakdowns, and owner complaints, making them ...
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
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