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ExternalSoftware Engineering
DZone

Architecting Petabyte-Scale Hyperspectral Pipelines on AWS

The Data Challenge Every industry has its version of the same data engineering problem: massive, complex payloads generated at the edge — far from the cloud, often on unreliable networks — that need to become queryable, structured datasets as fast as possible. In genomics, it is multi-gigabyte sequencing files produced by instruments in labs.  In autonomous vehicles, it is LiDAR and camera telemetry streaming off test fleets. The underlying architectural challenge is the same in every case: inge

ExternalTechnology Trends
The Verge Tech

One of Meta’s big legal reckonings just ended in a settlement

After back-to-back losses in trials grappling with its impact on teens' mental health, Meta just settled what was supposed to be its next legal battle with Kentucky's Breathitt County School District. Google's YouTube, Snap, and TikTok all recently settled similar claims brought by the school district, which was seeking payment from the companies to cover the cost of combatting social media-related mental health harms. The trial had been set to begin in June as the first bellwether trial of the

The Verge TechRead original
ExternalDatabase
AWS Database Blog

Amazon Aurora MySQL 8.4 is now generally available

Today, we are excited to announce the general availability of Amazon Aurora MySQL 8.4, our latest major version, compatible with community MySQL 8.4.7. This release marks an important milestone for Aurora MySQL customers, introducing a simplified versioning model aligned directly with community MySQL, along with a streamlined patch version experience, and the full set of community MySQL 8.4 enhancements. In this post, we discuss the customer challenges that this release addresses, introduce Auro

Amazon AuroraAnnouncementsIntermediate (200)
AWS Database BlogRead original
ExternalAI
NVIDIA Technical Blog

Automating and Optimizing Financial Signal Discovery with Multi-Agent Systems

In quantitative finance, researchers build algorithms to trade assets, derivatives, and other financial instruments. A key part of that work is finding signals:... In quantitative finance, researchers build algorithms to trade assets, derivatives, and other financial instruments. A key part of that work is finding signals: patterns in messy market data that may help predict future returns. These signals can come from price and volume data, economic indicators, fundamentals, or alternative source

NVIDIA Technical BlogRead original

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