Doctors treating ICU patients on ventilators face a constant challenge regarding nutrition. Now, an AI system can help.
If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...
The Southeast Asian country is pushing hard for digital transformation, seeing digital identity and governance as central to ...
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
When we prompted multiple AI models on why they lie, the first thing they wanted to do was differentiate lies from ...
CRUD (Create, Read, Update, Delete) is the standard vocabulary of most applications. But it is a technical vocabulary, not a ...
New Semantic Compiler modernizes BI, accelerates AI readiness, and eliminates metric sprawl across databases, analytics platforms, and AI agentsMOUNTAIN ...
Realsee3D is a large-scale multi-view RGB-D dataset designed to advance research in indoor 3D perception, reconstruction, and ...
How AI, privacy-preserving computation, and explainable models quietly strengthen payments, protect data, and bridge traditional finance with crypto systems.
A monitor node validates state proofs and anchors snapshots on chain, which provides auditability for attribution and ...
1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...
ManureDB, a publicly available database, houses U.S. manure and organic amendment data from multiple laboratory sources. The ...
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