Software supply chain attacks are evolving. Beyond compromised packages, discover the 2026 "Agentic" threat surface—where prompt injection, toolchain poisoning, and hallucinated dependencies bypass ...

In building LLM applications, enterprises often have to create very long system prompts to adjust the model’s behavior for their applications. These prompts contain company knowledge, preferences, and ...

South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring irradiance sensors during operation, using routine meteorological data instead.

Today’s financial institutions depend on databases with no room for error. A single unsafe query, or accidental production change can trigger outages, inaccurate ...

A complete RESTful web API built with C# and .NET Core 8.0, featuring JSON API endpoints, Entity Framework, JWT authentication, database integration, and ...

The scale of energy demand in Northern California has reached a historic inflection point. With a 10 GW pipeline of data center demand—enough load to power more than 7.5 million homes—utility planners ...

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Recursive language models (RLMs) are an inference technique developed by researchers at MIT CSAIL that treat long prompts as an external environment to the model. Instead of forcing the entire prompt ...

Research analyzing 4,700 leading websites reveals that 64% of third-party applications now access sensitive data without business justification, up from 51% in 2024. Government sector malicious ...

Abstract: Broadband Internet accessibility initiatives, especially when enriched with Quality-of-Service (QoS) data, undoubtedly offer a valuable means to generate visually informative data for ...