Faster Scientific Image Analysis with NVIDIA cuPhoton
Observatories and telescopes, lasers and X-ray light sources, and other high-throughput instruments generate image data faster than CPU-bound pipelines can...
70 stories
Observatories and telescopes, lasers and X-ray light sources, and other high-throughput instruments generate image data faster than CPU-bound pipelines can...
What do they tell us about a linear transformation?Continue reading on Towards AI »
An OpenAI privacy bug in the gap between an object and the assets derived from it
Complete RAG Engineering Series, Part 6 | A practical guide to HNSW, IVF, product quantization, FAISS, Pinecone, Weaviate, Qdrant, Milvus…Continue reading on Towards AI »
What each paper really says, why it still matters, and what to read next.Continue reading on Towards AI »
Four Claude models reached the real internet during cyber tests. The most unsettling finding was how one explained it to itself.Continue reading on Towards AI »
A controlled test of Gemini, DeepSeek, ChatGPT, and Claude on leakage, reporting delays, promotion effects, and structural breaks. The post I Hid Four Traps in a Forecasting Task. Here Is What Four AI Assistants Did. appeared first on Towards Data Science.
Elegant object matching from several viewpoints The post Computer Vision: SIFT algorithm (Scale Invariant Feature Transform) appeared first on Towards Data Science.
Generative AI for Recommendations: what YouTube, Netflix and Meta are Moving to, Built From Scratch A build log on real Amazon data: Semantic IDs, a small Transformer that writes the next item, and a …
Build an Art Recommender from scratch with CLIP and ChromaDB Part I: Collecting the data A couple of years ago, as I was taking my first steps in the data science world, I had an idea and decided to …
Learn why vector RAG fails at multi-hop reasoning and how combining Neo4j Knowledge Graphs with Gemini creates auditable enterprise AI.
How “System 1” AI makes fast, calibrated decisions that LLMs can’tContinue reading on Towards AI »
AI agents guess when a question is vague. Two things help: write down your rules first, then add a separate check that asks.Continue reading on Towards AI »
What’s new in Flash-Next, and the Mac and PC setups that get its long-prompt speed today.Continue reading on Towards AI »
Most of what we call hallucination is a model faithfully repeating data we never checked
First in a two-part series on tuning Jev as an LLM judge: this post covers judging response quality; the next covers judging response safety.
I’m writing this blog to give you a quick glimpse of the Similarity Metrics that we use in industry covering about why we need them, when do we use, what’s the intuition behind each metric and ending with some bonus tip to easily remember them.
Pascal’s Triangle, Explained From ScratchContinue reading on Towards AI »
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