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How Amazon Finance streamlines regulatory inquiries by using generative AI on AWS

Amazon’s Finance Technology (FinTech) teams build and operate systems for Amazon teams to manage regulatory inquiries in compliance with different…

3 weeks ago

Beyond source code: The files AI coding agents trust — and attackers exploit

As AI coding agents become deeply embedded in developer workflows, defenders must evolve their definition of malicious files and rethink…

3 weeks ago

Building web search-enabled agents with Strands and Exa

This post is co written by Ishan Goswami and Nitya Sridhar from Exa. If you are building web search-enabled AI…

4 weeks ago

Cloud Storage Rapid: Turbocharged object storage for AI and analytics

At Google Cloud Next ’26 we announced Cloud Storage Rapid, a family of object storage capabilities for data-intensive workloads like…

4 weeks ago

Scaling ArchUnit with Nebula ArchRules

By John Burns and Emily YuanIntroductionAt Netflix, we operate using a polyrepo strategy with tens of thousands of Java repositories. This…

4 weeks ago

Halliburton enhances seismic workflow creation with Amazon Bedrock and Generative AI

Seismic data analysis is an essential component of energy exploration, but configuring complex processing workflows has traditionally been a time-consuming…

4 weeks ago

What Matters in Practical Learned Image Compression

One of the major differentiators unlocked by learned codecs relative to their hard-coded traditional counterparts is their ability to be…

4 weeks ago

Secure short-term GPU capacity for ML workloads with EC2 Capacity Blocks for ML and SageMaker training plans

As companies of various sizes adopt graphic processing units (GPU)-based machine learning (ML) training, fine-tuning and inference workloads, the demand…

4 weeks ago

Gemini 3.1 Flash-Lite is now generally available on Gemini Enterprise Agent Platform

Today, we’re thrilled to announce that Gemini 3.1 Flash-Lite, our fastest and most cost-efficient Gemini 3 series model yet, is…

4 weeks ago

SpecMD: A Comprehensive Study on Speculative Expert Prefetching

Mixture-of-Experts (MoE) models enable sparse expert activation, meaning that only a subset of the model’s parameters is used during each…

1 month ago