Experimental News Clipping Site

Tag: large datasets

  • The Register: Return of Redis creator bears fruit with vector set data type

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/04/10/return_of_redis_creator/ Source: The Register Title: Return of Redis creator bears fruit with vector set data type Feedly Summary: LLM query caching also lands soon The return of Redis creator Salvatore Sanfilippo has borne fruit in the form of a new data type – vector sets – for the widely used cache-turned-multi-model database.… AI…

  • Cloud Blog: What’s new with BigQuery — the autonomous data-to-AI platform

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/data-analytics/bigquery-emerges-as-autonomous-data-to-ai-platform/ Source: Cloud Blog Title: What’s new with BigQuery — the autonomous data-to-AI platform Feedly Summary: Data is the fuel for AI, and organizations are racing to leverage enterprise data to build AI agents, intelligent search, and AI-powered analytics for productivity, deeper insights, and a competitive edge. To power their data clouds, tens…

  • The Cloudflare Blog: Making Super Slurper 5x faster with Workers, Durable Objects, and Queues

    —

    by

    Kurt Seifried
    in

    Source URL: https://blog.cloudflare.com/making-super-slurper-five-times-faster/ Source: The Cloudflare Blog Title: Making Super Slurper 5x faster with Workers, Durable Objects, and Queues Feedly Summary: We re-architected Super Slurper from the ground up using our Developer Platform — leveraging Cloudflare Workers, Durable Objects, and Queues — and improved transfer speeds by up to 5x. AI Summary and Description: Yes…

  • Cloud Blog: Using RDMA over Converged Ethernet networking for AI on Google Cloud

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/networking/rdma-rocev2-for-ai-workloads-on-google-cloud/ Source: Cloud Blog Title: Using RDMA over Converged Ethernet networking for AI on Google Cloud Feedly Summary: All workloads are not the same. This is especially the case for AI, ML, and scientific workloads. In this blog we show how Google Cloud makes the RDMA over converged ethernet version 2 (RoCE v2)…

  • Cloud Blog: Accelerating AI in healthcare using NVIDIA BioNeMo Framework and Blueprints on GKE

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/accelerate-ai-in-healthcare-nvidia-bionemo-gke/ Source: Cloud Blog Title: Accelerating AI in healthcare using NVIDIA BioNeMo Framework and Blueprints on GKE Feedly Summary: The quest to develop new medical treatments has historically been a slow, arduous process, screening billions of molecular compounds across decade-long development cycles. The vast majority of therapeutic candidates do not even make it…

  • Cloud Blog: Accelerate AI/ML workloads using Cloud Storage hierarchical namespace

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/storage-data-transfer/cloud-storage-hierarchical-namespace-improves-aiml-checkpointing/ Source: Cloud Blog Title: Accelerate AI/ML workloads using Cloud Storage hierarchical namespace Feedly Summary: As AI and machine learning (ML) workloads continue to grow, the infrastructure supporting them must evolve to meet their unique demands. Here on the Google Cloud Storage team, we’re committed to providing AI/ML practitioners with tools to optimize…

  • CSA: AI in Cybersecurity: Revolutionizing Threat Detection

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloudsecurityalliance.org/blog/2025/03/14/a-i-in-cybersecurity-revolutionizing-threat-detection-and-response Source: CSA Title: AI in Cybersecurity: Revolutionizing Threat Detection Feedly Summary: AI Summary and Description: Yes Summary: The text discusses how artificial intelligence is transforming cybersecurity, focusing on key areas such as threat detection, automated responses, predictive analysis, and reducing false positives. The implications for security professionals include leveraging AI to enhance…

  • Cloud Blog: ScaNN for AlloyDB: The first PostgreSQL vector search index that works well from millions to billion of vectors

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/databases/how-scann-for-alloydb-vector-search-compares-to-pgvector-hnsw/ Source: Cloud Blog Title: ScaNN for AlloyDB: The first PostgreSQL vector search index that works well from millions to billion of vectors Feedly Summary: Executive Summary – ScaNN for AlloyDB is the first Postgres-based vector search extension that supports vector indexes of all sizes, while providing fast index builds, fast transactional updates,…

  • Hacker News: ARC-AGI without pretraining

    —

    by

    Kurt Seifried
    in

    Source URL: https://iliao2345.github.io/blog_posts/arc_agi_without_pretraining/arc_agi_without_pretraining.html Source: Hacker News Title: ARC-AGI without pretraining Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents “CompressARC,” a novel method demonstrating that lossless information compression can generate intelligent behavior in artificial intelligence (AI) systems, notably in solving ARC-AGI puzzles without extensive pretraining or large datasets. This approach challenges conventional…