Cybersecurity researchers have disclosed details of a new campaign dubbed SHADOW#REACTOR that employs an evasive multi-stage attack chain to deliver a commercially available remote administration tool called Remcos RAT and establish persistent, covert remote access. “The infection chain follows a tightly orchestrated execution path: an obfuscated VBS launcher executed via wscript.exe invokes a Read More
January 5th TJS Weekly Security Intelligence Briefing Week of January 5th, 2026Classification: TLP: PublicPrepared: January 5, 2026 SECTION A: EXECUTIVE OVERVIEW For Leadership and Management A.1 Executive Summary Risk Posture: ELEVATED This week’s threat landscape is defined by three operationally significant developments: Bottom Line: MongoDB patching is the highest-priority technical action. Phishing awareness requires immediate […]
University of Hawaii says a ransomware gang breached its Cancer Center in August 2025, stealing data of study participants, including documents from the 1990s containing Social Security numbers. […] Read More
Microsoft has started retiring the Microsoft Lens PDF scanner app for Android and iOS devices on Friday, January 9th, with plans to remove it from app stores next month. […] Read More
How Omada Health scaled patient care by fine-tuning Llama models on Amazon SageMaker AIArtificial Intelligence This post is co-written with Sunaina Kavi, AI/ML Product Manager at Omada Health. Omada Health, a longtime innovator in virtual healthcare delivery, launched a new nutrition experience in 2025, featuring OmadaSpark, an AI agent trained with robust clinical input that delivers real-time motivational interviewing and nutrition education. It was built on AWS. OmadaSpark was designed
This post is co-written with Sunaina Kavi, AI/ML Product Manager at Omada Health. Omada Health, a longtime innovator in virtual healthcare delivery, launched a new nutrition experience in 2025, featuring OmadaSpark, an AI agent trained with robust clinical input that delivers real-time motivational interviewing and nutrition education. It was built on AWS. OmadaSpark was designed Read More
How to Self-Host n8n on Docker in 5 Simple StepsKDnuggets This tutorial will guide you through the complete process of self-hosting n8n on Docker in just 5 simple steps, with detailed explanations and code samples, regardless of your technical background.
This tutorial will guide you through the complete process of self-hosting n8n on Docker in just 5 simple steps, with detailed explanations and code samples, regardless of your technical background. Read More
Why 90% Accuracy in Text-to-SQL is 100% UselessTowards Data Science The eternal promise of self-service analytics
The post Why 90% Accuracy in Text-to-SQL is 100% Useless appeared first on Towards Data Science.
The eternal promise of self-service analytics
The post Why 90% Accuracy in Text-to-SQL is 100% Useless appeared first on Towards Data Science. Read More
When Does Adding Fancy RAG Features Work?Towards Data Science Looking at the performance of different pipelines
The post When Does Adding Fancy RAG Features Work? appeared first on Towards Data Science.
Looking at the performance of different pipelines
The post When Does Adding Fancy RAG Features Work? appeared first on Towards Data Science. Read More
7 Must-Have Tools for Your Coding WorkflowKDnuggets My go-to tech stack that helps me code faster, stay organized, and ship with confidence.
My go-to tech stack that helps me code faster, stay organized, and ship with confidence. Read More
How This Agentic Memory Research Unifies Long Term and Short Term Memory for LLM Agents MarkTechPost
How This Agentic Memory Research Unifies Long Term and Short Term Memory for LLM AgentsMarkTechPost How do you design an LLM agent that decides for itself what to store in long term memory, what to keep in short term context and what to discard, without hand tuned heuristics or extra controllers? Can a single policy learn to manage both memory types through the same action space as text generation? Researchers
The post How This Agentic Memory Research Unifies Long Term and Short Term Memory for LLM Agents appeared first on MarkTechPost.
How do you design an LLM agent that decides for itself what to store in long term memory, what to keep in short term context and what to discard, without hand tuned heuristics or extra controllers? Can a single policy learn to manage both memory types through the same action space as text generation? Researchers
The post How This Agentic Memory Research Unifies Long Term and Short Term Memory for LLM Agents appeared first on MarkTechPost. Read More
