Abstract or die: Why AI enterprises can’t afford rigid vector stacks

by AI Generated Robotic ContentAI/ML NewsPosted on Comments are Disabled

Vector databases (DBs), once specialist research instruments, have become widely used infrastructure in just a few years. They power today’s semantic search, recommendation engines, anti-fraud measures and gen AI applications across industries. There are a deluge of options: PostgreSQL with pgvector, MySQL HeatWave, DuckDB VSS, SQLite VSS, Pinecone, Weaviate, Milvus and several others. The riches …

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Introducing ScreenDiffusion v01 — Real-Time img2img Tool Is Now Free And Open Source

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Hey everyone! 👋 I’ve just released something I’ve been working on for a while — ScreenDiffusion, a free open source realtime screen-to-image generator built around Stream Diffusion. Think of it like this: whatever you place inside the floating capture window — a 3D scene, artwork, video, or game — can be instantly transformed as you …

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Switchboard-Affect: Emotion Perception Labels from Conversational Speech

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Understanding the nuances of speech emotion dataset curation and labeling is essential for assessing speech emotion recognition (SER) model potential in real-world applications. Most training and evaluation datasets contain acted or pseudo-acted speech (e.g., podcast speech) in which emotion expressions may be exaggerated or otherwise intentionally modified. Furthermore, datasets labeled based on crowd perception often …

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Beyond Founder Mode: Mission Mode

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Paul Graham’s “Founder Mode” paradigm misses the power of choosing missions that matter. Editor’s Note: In this blog post, Noam Perski reflects on his 15 years at Palantir and why “Mission Mode” — organizing companies around customer missions rather than founder involvement — is key to tackling problems that truly matter. Silicon Valley agrees that conventional management wisdom is destructive for …

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How and Why Netflix Built a Real-Time Distributed Graph: Part 1 — Ingesting and Processing Data…

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How and Why Netflix Built a Real-Time Distributed Graph: Part 1 — Ingesting and Processing Data Streams at Internet Scale Authors: Adrian Taruc and James Dalton This is the first entry of a multi-part blog series describing how we built a Real-Time Distributed Graph (RDG). In Part 1, we will discuss the motivation for creating the RDG and the …

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How TP ICAP transformed CRM data into real-time insights with Amazon Bedrock

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This post is co-written with Ross Ashworth at TP ICAP. The ability to quickly extract insights from customer relationship management systems (CRMs) and vast amounts of meeting notes can mean the difference between seizing opportunities and missing them entirely. TP ICAP faced this challenge, having thousands of vendor meeting records stored in their CRM. Using …

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How Moloco is powering the future of retail media with AI Vector Search

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The retail media landscape has reached an inflection point. What started as a way for retailers to monetize their digital real estate has become the fastest-growing segment of digital advertising, with projections showing 21.9% growth in 2025 and a three-year compound annual growth rate of 19.7% through 2027, according to Dentsu’s Global Ad Spend Forecasts …

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