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 ...
Meta released details about its Generative Ads Model (GEM), a foundation model designed to improve ads recommendation across ...
When we prompted multiple AI models on why they lie, the first thing they wanted to do was differentiate lies from ...
AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.
In the MCP era, there is no "expected behavior" to deviate from. Every workflow is unique. Every sequence of tool calls is ...
Realsee3D is a large-scale multi-view RGB-D dataset designed to advance research in indoor 3D perception, reconstruction, and ...
An unsecured database exposed 4.3 billion LinkedIn-derived records, enabling large-scale phishing and identity-based attacks.
Abstract: Big data applications such as Artificial Intelligence (AI) and Internet of Things (IoT) have in recent years been leading to many technological breakthroughs in system modeling. However, ...
1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...
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