Vector search is at the core of the AI revolution. It provides applications with access to semantically relevant unstructured data. Scalable Vector Search (SVS) is a performance library for billion-scale similarity search that offers high-performance computing optimizations, along with vector compression and dimensionality reduction techniques.
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Neural networks news
Intel NN News
- Migrating NVIDIA CUDA C++ AI Kernels to Intel SYCL for GPU Acceleration
Migrating AI kernels from NVIDIA CUDA C++ to Intel SYCL is no longer a heavy rewrite—it is […]
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The right review framework scores architectural fitness: edge inference, open composability, and […]
- Edge AI Examples: Real City Deployments
Edge AI delivers real-time city decisions locally. Verified deployments show a single-intersection […]
- Migrating NVIDIA CUDA C++ AI Kernels to Intel SYCL for GPU Acceleration
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