Security researcher Kevin Beaumont got a call last week from a major US technology company that insisted it had nothing to worry about: all the credentials stolen in March's LiteLLM supply chain ...

A practical 2026 AI roadmap covers programming, data, machine learning, deep learning, LLMs, RAG, agents, evaluation, deployment, and portfolio projects for real ...

Support vector regression (SVR) predicts a single numeric value using a kernel function, usually RBF, that computes similarity between two data items. SVR makes predictions using support vectors, ...

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A flaw in the Google Cloud Vertex AI SDK for Python let an attacker with no access to a victim's project hijack the victim's machine learning model upload and run code inside Google's serving ...

As threat actors operationalize AI to accelerate attacks, they are also leveraging the wider global interest around AI itself as a social engineering lure. In recent months, Microsoft Threat ...

Abstract: This paper proposes a non-contact method for liquid characterization using a vector-potential (VP) transformer. In the proposed method, a VP coil generates an electric field originating from ...

When agentic workflows fail, developers often assume the problem lies in the underlying model’s reasoning abilities. In reality, the limited information provided by the retrieval interface is often ...

Vector search underpins most retrieval-augmented generation (RAG) pipelines. At scale, it gets expensive. Storing 10 million document embeddings in float32 consumes 31 GB of RAM. For dev teams running ...

Vector databases have graduated from experimental tooling to mission-critical infrastructure. In 2026, vector databases serve as the core retrieval layer for RAG pipelines, semantic search systems, ...