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The Amazon Finance technical team develops and manages comprehensive technology solutions that power financial decision-making and operational efficiency while standardizing across Amazon’s global operations. In this post, we explain how the team conceptualized and implemented a solution to these business challenges by harnessing the power of generative AI using Amazon Bedrock and intelligent search with Amazon Kendra.

In this post, we provide a data imputation solution using Amazon SageMaker AI, AWS Lambda, and AWS Step Functions. This solution is designed for environmental analysts, public health officials, and business intelligence professionals who need reliable PM2.5 data for trend analysis, reporting, and decision-making. We sourced our sample training dataset from openAFRICA. Our solution predicts PM2.5 values using time-series forecasting.

This post describes the agentic AI assistant built by the Government of the City of Buenos Aires and the GenAIIC to respond to citizens’ questions about government procedures. The solution consists of two primary components: an input guardrail system that helps prevent the system from responding to harmful user queries and a government procedures agent that retrieves relevant information and generates responses.

OpenAI and Anthropic tested each other's AI models and found that even though reasoning models align better to safety, there are still risks.

We begin this tutorial by designing a modular deep research system that runs directly on Google Colab. We configure Gemini as the core reasoning engine, integrate DuckDuckGo’s Instant Answer API for lightweight web search, and orchestrate multi-round querying with deduplication and delay handling. We emphasize efficiency by limiting API calls, parsing concise snippets, and using […] The post How to Build a Multi-Round Deep Research Agent with Gemini, DuckDuckGo API, and Automated Reporting? appeared first on MarkTechPost.

Vulnerability can be exploited to gain access to customers' crown jewels.

The AI revolution has created huge demand for processing power to train frontier models, which Nvidia is filling with its high-end GPUs. But the sudden shift to AI inference and Read more… The post d-Matrix Takes On AI ‘Memory Wall’ with 3D Stacked In-Memory Compute appeared first on BigDATAwire.