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Daily AI News
Getting Started with OpenClaw and Connecting It with WhatsApp MarkTechPost

Getting Started with OpenClaw and Connecting It with WhatsApp MarkTechPost

Getting Started with OpenClaw and Connecting It with WhatsAppMarkTechPost OpenClaw is a self-hosted personal AI assistant that runs on your own devices and communicates through the apps you already use—such as WhatsApp, Telegram, Slack, Discord, and more. It can answer questions, automate tasks, interact with your files and services, and even speak or listen on supported devices, all while keeping you in control of
The post Getting Started with OpenClaw and Connecting It with WhatsApp appeared first on MarkTechPost.

 OpenClaw is a self-hosted personal AI assistant that runs on your own devices and communicates through the apps you already use—such as WhatsApp, Telegram, Slack, Discord, and more. It can answer questions, automate tasks, interact with your files and services, and even speak or listen on supported devices, all while keeping you in control of
The post Getting Started with OpenClaw and Connecting It with WhatsApp appeared first on MarkTechPost. Read More  

Daily AI News
Google AI Introduces the WebMCP to Enable Direct and Structured Website Interactions for New AI Agents MarkTechPost

Google AI Introduces the WebMCP to Enable Direct and Structured Website Interactions for New AI Agents MarkTechPost

Google AI Introduces the WebMCP to Enable Direct and Structured Website Interactions for New AI AgentsMarkTechPost Google is officially turning Chrome into a playground for AI agents. For years, AI ‘browsers’ have relied on a messy process: taking screenshots of websites, running them through vision models, and guessing where to click. This method is slow, breaks easily, and consumes massive amounts of compute. Google has introduced a better way: the Web
The post Google AI Introduces the WebMCP to Enable Direct and Structured Website Interactions for New AI Agents appeared first on MarkTechPost.

 Google is officially turning Chrome into a playground for AI agents. For years, AI ‘browsers’ have relied on a messy process: taking screenshots of websites, running them through vision models, and guessing where to click. This method is slow, breaks easily, and consumes massive amounts of compute. Google has introduced a better way: the Web
The post Google AI Introduces the WebMCP to Enable Direct and Structured Website Interactions for New AI Agents appeared first on MarkTechPost. Read More  

Security News
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Microsoft Discloses DNS-Based ClickFix Attack Using Nslookup for Malware Staging The Hacker Newsinfo@thehackernews.com (The Hacker News)

Microsoft has disclosed details of a new version of the ClickFix social engineering tactic in which the attackers trick unsuspecting users into running commands that carry out a Domain Name System (DNS) lookup to retrieve the next-stage payload. Specifically, the attack relies on using the “nslookup” (short for nameserver lookup) command to execute a custom […]

Daily AI News
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Brain inspired machines are better at math than expected Artificial Intelligence News — ScienceDaily

Brain inspired machines are better at math than expectedArtificial Intelligence News — ScienceDaily Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The breakthrough could lead to powerful, low-energy supercomputers while revealing new secrets about how our brains process information.

 Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The breakthrough could lead to powerful, low-energy supercomputers while revealing new secrets about how our brains process information. Read More  

Daily AI News
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How to Build a Self-Organizing Agent Memory System for Long-Term AI Reasoning MarkTechPost

How to Build a Self-Organizing Agent Memory System for Long-Term AI Reasoning MarkTechPost In this tutorial, we build a self-organizing memory system for an agent that goes beyond storing raw conversation history and instead structures interactions into persistent, meaningful knowledge units. We design the system so that reasoning and memory management are clearly separated, allowing a dedicated component to extract, compress, and organize information. At the same time,
The post How to Build a Self-Organizing Agent Memory System for Long-Term AI Reasoning  appeared first on MarkTechPost.

 In this tutorial, we build a self-organizing memory system for an agent that goes beyond storing raw conversation history and instead structures interactions into persistent, meaningful knowledge units. We design the system so that reasoning and memory management are clearly separated, allowing a dedicated component to extract, compress, and organize information. At the same time,
The post How to Build a Self-Organizing Agent Memory System for Long-Term AI Reasoning  appeared first on MarkTechPost. Read More  

Daily AI News
AI News & Insights Featured Image

Your First 90 Days as a Data Scientist Towards Data Science

Your First 90 Days as a Data ScientistTowards Data Science A practical onboarding checklist for building trust, business fluency, and data intuition
The post Your First 90 Days as a Data Scientist appeared first on Towards Data Science.

 A practical onboarding checklist for building trust, business fluency, and data intuition
The post Your First 90 Days as a Data Scientist appeared first on Towards Data Science. Read More  

Knowledge
Prompt Engineering, What is Prompt Engineering

What Is Prompt Engineering? A Beginner’s Guide to Getting Better Results from AI

In January 2022, researchers at Google Brain published a paper that changed how people interact with AI. Jason Wei and colleagues demonstrated that adding intermediate reasoning steps to prompts (a method they called “chain-of-thought prompting”) improved large language model performance on arithmetic, commonsense, and symbolic reasoning tasks (Wei et al., 2022, arXiv:2201.11903). The technique was […]