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Daily AI News
Accelerating your marketing ideation with generative AI – Part 2: Generate custom marketing images from historical references Artificial Intelligence

Accelerating your marketing ideation with generative AI – Part 2: Generate custom marketing images from historical references Artificial Intelligence

Accelerating your marketing ideation with generative AI – Part 2: Generate custom marketing images from historical referencesArtificial Intelligence Building upon our earlier work of marketing campaign image generation using Amazon Nova foundation models, in this post, we demonstrate how to enhance image generation by learning from previous marketing campaigns. We explore how to integrate Amazon Bedrock, AWS Lambda, and Amazon OpenSearch Serverless to create an advanced image generation system that uses reference campaigns to maintain brand guidelines, deliver consistent content, and enhance the effectiveness and efficiency of new campaign creation.

 Building upon our earlier work of marketing campaign image generation using Amazon Nova foundation models, in this post, we demonstrate how to enhance image generation by learning from previous marketing campaigns. We explore how to integrate Amazon Bedrock, AWS Lambda, and Amazon OpenSearch Serverless to create an advanced image generation system that uses reference campaigns to maintain brand guidelines, deliver consistent content, and enhance the effectiveness and efficiency of new campaign creation. Read More  

Daily AI News
AWS vs. Azure: A Deep Dive into Model Training – Part 2 Towards Data Science

AWS vs. Azure: A Deep Dive into Model Training – Part 2 Towards Data Science

AWS vs. Azure: A Deep Dive into Model Training – Part 2Towards Data Science This article covers how Azure ML’s persistent, workspace-centric compute resources differ from AWS SageMaker’s on-demand, job-specific approach. Additionally, we explored environment customization options, from Azure’s curated environments and custom environments to SageMaker’s three level of customizations.
The post AWS vs. Azure: A Deep Dive into Model Training – Part 2 appeared first on Towards Data Science.

 This article covers how Azure ML’s persistent, workspace-centric compute resources differ from AWS SageMaker’s on-demand, job-specific approach. Additionally, we explored environment customization options, from Azure’s curated environments and custom environments to SageMaker’s three level of customizations.
The post AWS vs. Azure: A Deep Dive into Model Training – Part 2 appeared first on Towards Data Science. Read More  

Daily AI News
AI Expo 2026 Day 1: Governance and data readiness enable the agentic enterprise AI News

AI Expo 2026 Day 1: Governance and data readiness enable the agentic enterprise AI News

AI Expo 2026 Day 1: Governance and data readiness enable the agentic enterpriseAI News While the prospect of AI acting as a digital co-worker dominated the day one agenda at the co-located AI & Big Data Expo and Intelligent Automation Conference, the technical sessions focused on the infrastructure to make it work. A primary topic on the exhibition floor was the progression from passive automation to “agentic” systems. These
The post AI Expo 2026 Day 1: Governance and data readiness enable the agentic enterprise appeared first on AI News.

 While the prospect of AI acting as a digital co-worker dominated the day one agenda at the co-located AI & Big Data Expo and Intelligent Automation Conference, the technical sessions focused on the infrastructure to make it work. A primary topic on the exhibition floor was the progression from passive automation to “agentic” systems. These
The post AI Expo 2026 Day 1: Governance and data readiness enable the agentic enterprise appeared first on AI News. Read More  

Daily AI News
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Unlocking the Codex harness: how we built the App Server OpenAI News

Unlocking the Codex harness: how we built the App ServerOpenAI News Learn how to embed the Codex agent using the Codex App Server, a bidirectional JSON-RPC API powering streaming progress, tool use, approvals, and diffs.

 Learn how to embed the Codex agent using the Codex App Server, a bidirectional JSON-RPC API powering streaming progress, tool use, approvals, and diffs. Read More  

Daily AI News
Google Introduces Agentic Vision in Gemini 3 Flash for Active Image Understanding MarkTechPost

Google Introduces Agentic Vision in Gemini 3 Flash for Active Image Understanding MarkTechPost

Google Introduces Agentic Vision in Gemini 3 Flash for Active Image UnderstandingMarkTechPost Frontier multimodal models usually process an image in a single pass. If they miss a serial number on a chip or a small symbol on a building plan, they often guess. Google’s new Agentic Vision capability in Gemini 3 Flash changes this by turning image understanding into an active, tool using loop grounded in visual
The post Google Introduces Agentic Vision in Gemini 3 Flash for Active Image Understanding appeared first on MarkTechPost.

 Frontier multimodal models usually process an image in a single pass. If they miss a serial number on a chip or a small symbol on a building plan, they often guess. Google’s new Agentic Vision capability in Gemini 3 Flash changes this by turning image understanding into an active, tool using loop grounded in visual
The post Google Introduces Agentic Vision in Gemini 3 Flash for Active Image Understanding appeared first on MarkTechPost. Read More  

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How to Build Efficient Agentic Reasoning Systems by Dynamically Pruning Multiple Chain-of-Thought Paths Without Losing Accuracy MarkTechPost

How to Build Efficient Agentic Reasoning Systems by Dynamically Pruning Multiple Chain-of-Thought Paths Without Losing AccuracyMarkTechPost In this tutorial, we implement an agentic chain-of-thought pruning framework that generates multiple reasoning paths in parallel and dynamically reduces them using consensus signals and early stopping. We focus on improving reasoning efficiency by reducing unnecessary token usage while preserving answer correctness, demonstrating that self-consistency and lightweight graph-based agreement can serve as effective proxies for
The post How to Build Efficient Agentic Reasoning Systems by Dynamically Pruning Multiple Chain-of-Thought Paths Without Losing Accuracy appeared first on MarkTechPost.

 In this tutorial, we implement an agentic chain-of-thought pruning framework that generates multiple reasoning paths in parallel and dynamically reduces them using consensus signals and early stopping. We focus on improving reasoning efficiency by reducing unnecessary token usage while preserving answer correctness, demonstrating that self-consistency and lightweight graph-based agreement can serve as effective proxies for
The post How to Build Efficient Agentic Reasoning Systems by Dynamically Pruning Multiple Chain-of-Thought Paths Without Losing Accuracy appeared first on MarkTechPost. Read More  

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windows malware QB8IOF

DEAD#VAX Malware Campaign Deploys AsyncRAT via IPFS-Hosted VHD Phishing Files The Hacker Newsinfo@thehackernews.com (The Hacker News)

Threat hunters have disclosed details of a new, stealthy malware campaign dubbed DEAD#VAX that employs a mix of “disciplined tradecraft and clever abuse of legitimate system features” to bypass traditional detection mechanisms and deploy a remote access trojan (RAT) known as AsyncRAT. “The attack leverages IPFS-hosted VHD files, extreme script obfuscation, runtime decryption, and in-memory Read […]