ai/ml - Robotic Content

Automating RDS Postgres to Aurora Postgres Migration

by AI Generated Robotic ContentFAANG February 13, 2026Comments are Disabled

Ram Srivasta Kannan, Wale Akintayo, Jay Bharadwaj, John Crimmins, Shengwei Wang, Zhitao Zhu Introduction In 2024, the Online Data Stores team at Netflix conducted a comprehensive review of the relational database technologies used across the company. This evaluation examined functionality, performance, and total cost of ownership across our database ecosystem. Based on this analysis, we decided …

AI meets HR: Transforming talent acquisition with Amazon Bedrock

by AI Generated Robotic ContentFAANG February 13, 2026Comments are Disabled

Organizations face significant challenges in making their recruitment processes more efficient while maintaining fair hiring practices. By using AI to transform their recruitment and talent acquisition processes, organizations can overcome these challenges. AWS offers a suite of AI services that can be used to significantly enhance the efficiency, effectiveness, and fairness of hiring practices. With …

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NVIDIA Nemotron 3 Nano 30B MoE model is now available in Amazon SageMaker JumpStart

by AI Generated Robotic ContentFAANG February 12, 2026Comments are Disabled

Today we’re excited to announce that the NVIDIA Nemotron 3 Nano 30B model with 3B active parameters is now generally available in the Amazon SageMaker JumpStart model catalog. You can accelerate innovation and deliver tangible business value with Nemotron 3 Nano on Amazon Web Services (AWS) without having to manage model deployment complexities. You can …

Build financial resilience with AI-powered tabletop exercises on Google Cloud

by AI Generated Robotic ContentFAANG February 12, 2026Comments are Disabled

In the financial sector, resilience isn’t optional. Recent cloud outages have shown us exactly how fast critical data can disappear. The risk is amplified by major regulatory drivers like the Digital Operational Resilience Act (DORA), which mandates that financial institutions are ready for any disruption. The recent designation of Google Cloud as a Critical Third-Party …

Parallel Track Transformers: Enabling Fast GPU Inference with Reduced Synchronization

by AI Generated Robotic ContentFAANG February 11, 2026Comments are Disabled

Efficient large-scale inference of transformer-based large language models (LLMs) remains a fundamental systems challenge, frequently requiring multi-GPU parallelism to meet stringent latency and throughput targets. Conventional tensor parallelism decomposes matrix operations across devices but introduces substantial inter-GPU synchronization, leading to communication bottlenecks and degraded scalability. We propose the Parallel Track (PT) Transformer, a novel architectural …

How Amazon uses Amazon Nova models to automate operational readiness testing for new fulfillment centers

by AI Generated Robotic ContentFAANG February 11, 2026Comments are Disabled

Amazon is a global ecommerce and technology company that operates a vast network of fulfillment centers to store, process, and ship products to customers worldwide. The Amazon Global Engineering Services (GES) team is responsible for facilitating operational readiness across the company’s rapidly expanding network of fulfillment centers. When launching new fulfillment centers, Amazon must verify …

Gemini Enterprise Agent Ready (GEAR) program now available, a new path to building AI agents at scale

by AI Generated Robotic ContentFAANG February 11, 2026Comments are Disabled

Today’s reality is agentic – software that can reason, plan, and act on your behalf to execute complex workflows. To meet this moment, we are excited to open the Gemini Enterprise Agent Ready (GEAR) learning program to everyone. As a new specialized pathway within the Google Developer Program, GEAR empowers developers and pros to build …

Automated Reasoning checks rewriting chatbot reference implementation

by AI Generated Robotic ContentFAANG February 10, 2026Comments are Disabled

Today, we are publishing a new open source sample chatbot that shows how to use feedback from Automated Reasoning checks to iterate on the generated content, ask clarifying questions, and prove the correctness of an answer. The chatbot implementation also produces an audit log that includes mathematically verifiable explanations for the answer validity and a …

How PARTs Assemble into Wholes: Learning the Relative Composition of Images

by AI Generated Robotic ContentFAANG February 7, 2026Comments are Disabled

The composition of objects and their parts, along with object-object positional relationships, provides a rich source of information for representation learning. Hence, spatial-aware pretext tasks have been actively explored in self-supervised learning. Existing works commonly start from a grid structure, where the goal of the pretext task involves predicting the absolute position index of patches …

Structured outputs on Amazon Bedrock: Schema-compliant AI responses

by AI Generated Robotic ContentFAANG February 7, 2026Comments are Disabled

Today, we’re announcing structured outputs on Amazon Bedrock—a capability that fundamentally transforms how you can obtain validated JSON responses from foundation models through constrained decoding for schema compliance. This represents a paradigm shift in AI application development. Instead of validating JSON responses and writing fallback logic for when they fail, you can move straight to …