Hamas’s best hackers have been maturing, building better malware, and spreading their attacks more widely across the region. Read More
10 GitHub Repositories to Master Machine Learning DeploymentKDnuggets Master the essential skill of deploying machine learning models with courses, projects, examples, resources, and interview questions.
Master the essential skill of deploying machine learning models with courses, projects, examples, resources, and interview questions. Read More
A stealthy campaign with 19 extensions on the VSCode Marketplace has been active since February, targeting developers with malware hidden inside dependency folders. […] Read More
This week’s cyber stories show how fast the online world can turn risky. Hackers are sneaking malware into movie downloads, browser add-ons, and even software updates people trust. Tech giants and governments are racing to plug new holes while arguing over privacy and control. And researchers keep uncovering just how much of our digital life […]
Wiz disclosed a still-unpatched vulnerability in self-hosted Git service Gogs, which is a bypass for a previous RCE bug disclosed last year. Read More
A new variation of the ClickFix attack dubbed ‘ConsentFix’ abuses the Azure CLI OAuth app to hijack Microsoft accounts without the need for a password or to bypass multi-factor authentication (MFA) verifications. […] Read More
How Swisscom builds enterprise agentic AI for customer support and sales using Amazon Bedrock AgentCoreArtificial Intelligence In this post, we’ll show how Swisscom implemented Amazon Bedrock AgentCore to build and scale their enterprise AI agents for customer support and sales operations. As an early adopter of Amazon Bedrock in the AWS Europe Region (Zurich), Swisscom leads in enterprise AI implementation with their Chatbot Builder system and various AI initiatives. Their successful deployments include Conversational AI powered by Rasa and fine-tuned LLMs on Amazon SageMaker, and the Swisscom Swisscom myAI assistant, built to meet Swiss data protection standards.
In this post, we’ll show how Swisscom implemented Amazon Bedrock AgentCore to build and scale their enterprise AI agents for customer support and sales operations. As an early adopter of Amazon Bedrock in the AWS Europe Region (Zurich), Swisscom leads in enterprise AI implementation with their Chatbot Builder system and various AI initiatives. Their successful deployments include Conversational AI powered by Rasa and fine-tuned LLMs on Amazon SageMaker, and the Swisscom Swisscom myAI assistant, built to meet Swiss data protection standards. Read More
Scaling MLflow for enterprise AI: What’s New in SageMaker AI with MLflowArtificial Intelligence Today we’re announcing Amazon SageMaker AI with MLflow, now including a serverless capability that dynamically manages infrastructure provisioning, scaling, and operations for artificial intelligence and machine learning (AI/ML) development tasks. In this post, we explore how these new capabilities help you run large MLflow workloads—from generative AI agents to large language model (LLM) experimentation—with improved performance, automation, and security using SageMaker AI with MLflow.
Today we’re announcing Amazon SageMaker AI with MLflow, now including a serverless capability that dynamically manages infrastructure provisioning, scaling, and operations for artificial intelligence and machine learning (AI/ML) development tasks. In this post, we explore how these new capabilities help you run large MLflow workloads—from generative AI agents to large language model (LLM) experimentation—with improved performance, automation, and security using SageMaker AI with MLflow. Read More
Amazon Bedrock AgentCore Observability with LangfuseArtificial Intelligence In this post, we explain how to integrate Langfuse observability with Amazon Bedrock AgentCore to gain deep visibility into an AI agent’s performance, debug issues faster, and optimize costs. We walk through a complete implementation using Strands agents deployed on AgentCore Runtime followed by step-by-step code examples.
In this post, we explain how to integrate Langfuse observability with Amazon Bedrock AgentCore to gain deep visibility into an AI agent’s performance, debug issues faster, and optimize costs. We walk through a complete implementation using Strands agents deployed on AgentCore Runtime followed by step-by-step code examples. Read More
The Machine Learning Divide: Marktechpost’s Latest ML Global Impact Report Reveals Geographic Asymmetry Between ML Tool Origins and Research AdoptionMarkTechPost Los Angeles, December 11, 2025 — Marktechpost has released ML Global Impact Report 2025 (AIResearchTrends.com). This educational report’s analysis includes over 5,000 articles from more than 125 countries, all published within the Nature family of journals between January 1 and September 30, 2025. The scope of this report is strictly confined to this specific body
The post The Machine Learning Divide: Marktechpost’s Latest ML Global Impact Report Reveals Geographic Asymmetry Between ML Tool Origins and Research Adoption appeared first on MarkTechPost.
Los Angeles, December 11, 2025 — Marktechpost has released ML Global Impact Report 2025 (AIResearchTrends.com). This educational report’s analysis includes over 5,000 articles from more than 125 countries, all published within the Nature family of journals between January 1 and September 30, 2025. The scope of this report is strictly confined to this specific body
The post The Machine Learning Divide: Marktechpost’s Latest ML Global Impact Report Reveals Geographic Asymmetry Between ML Tool Origins and Research Adoption appeared first on MarkTechPost. Read More