Fortinet on Wednesday said it observed “recent abuse” of a five-year-old security flaw in FortiOS SSL VPN in the wild under certain configurations. The vulnerability in question is CVE-2020-12812 (CVSS score: 5.2), an improper authentication vulnerability in SSL VPN in FortiOS that could allow a user to log in successfully without being prompted for the […]
The U.S. Cybersecurity and Infrastructure Security Agency (CISA) added a security flaw impacting Digiever DS-2105 Pro network video recorders (NVRs) to its Known Exploited Vulnerabilities (KEV) catalog, citing evidence of active exploitation. The vulnerability, tracked as CVE-2023-52163 (CVSS score: 8.8), relates to a case of command injection that allows post-authentication remote code Read More
It’s getting harder to tell where normal tech ends and malicious intent begins. Attackers are no longer just breaking in — they’re blending in, hijacking everyday tools, trusted apps, and even AI assistants. What used to feel like clear-cut “hacker stories” now looks more like a mirror of the systems we all use. This week’s […]
Is Your Model Time-Blind? The Case for Cyclical Feature EncodingTowards Data Science How cyclical encoding improves machine learning prediction
The post Is Your Model Time-Blind? The Case for Cyclical Feature Encoding appeared first on Towards Data Science.
How cyclical encoding improves machine learning prediction
The post Is Your Model Time-Blind? The Case for Cyclical Feature Encoding appeared first on Towards Data Science. Read More
A typosquatted domain impersonating the Microsoft Activation Scripts (MAS) tool was used to distribute malicious PowerShell scripts that infect Windows systems with the ‘Cosmali Loader’. […] Read More
OpenAI is testing a new ChatGPT feature called “Skills,” which will be similar to Claude’s feature, also called Skills. […] Read More
This AI Paper from Stanford and Harvard Explains Why Most ‘Agentic AI’ Systems Feel Impressive in Demos and then Completely Fall Apart in Real UseMarkTechPost Agentic AI systems sit on top of large language models and connect to tools, memory, and external environments. They already support scientific discovery, software development, and clinical research, yet they still struggle with unreliable tool use, weak long horizon planning, and poor generalization. The latest research paper ‘Adaptation of Agentic AI‘ from Stanford, Harvard, UC
The post This AI Paper from Stanford and Harvard Explains Why Most ‘Agentic AI’ Systems Feel Impressive in Demos and then Completely Fall Apart in Real Use appeared first on MarkTechPost.
Agentic AI systems sit on top of large language models and connect to tools, memory, and external environments. They already support scientific discovery, software development, and clinical research, yet they still struggle with unreliable tool use, weak long horizon planning, and poor generalization. The latest research paper ‘Adaptation of Agentic AI‘ from Stanford, Harvard, UC
The post This AI Paper from Stanford and Harvard Explains Why Most ‘Agentic AI’ Systems Feel Impressive in Demos and then Completely Fall Apart in Real Use appeared first on MarkTechPost. Read More
The Machine Learning “Advent Calendar” Day 24: Transformers for Text in ExcelTowards Data Science An intuitive, step-by-step look at how Transformers use self-attention to turn static word embeddings into contextual representations, illustrated with simple examples and an Excel-friendly walkthrough.
The post The Machine Learning “Advent Calendar” Day 24: Transformers for Text in Excel appeared first on Towards Data Science.
An intuitive, step-by-step look at how Transformers use self-attention to turn static word embeddings into contextual representations, illustrated with simple examples and an Excel-friendly walkthrough.
The post The Machine Learning “Advent Calendar” Day 24: Transformers for Text in Excel appeared first on Towards Data Science. Read More
Programmatically creating an IDP solution with Amazon Bedrock Data AutomationArtificial Intelligence In this post, we explore how to programmatically create an IDP solution that uses Strands SDK, Amazon Bedrock AgentCore, Amazon Bedrock Knowledge Base, and Bedrock Data Automation (BDA). This solution is provided through a Jupyter notebook that enables users to upload multi-modal business documents and extract insights using BDA as a parser to retrieve relevant chunks and augment a prompt to a foundational model (FM).
In this post, we explore how to programmatically create an IDP solution that uses Strands SDK, Amazon Bedrock AgentCore, Amazon Bedrock Knowledge Base, and Bedrock Data Automation (BDA). This solution is provided through a Jupyter notebook that enables users to upload multi-modal business documents and extract insights using BDA as a parser to retrieve relevant chunks and augment a prompt to a foundational model (FM). Read More
AI agent-driven browser automation for enterprise workflow managementArtificial Intelligence Enterprise organizations increasingly rely on web-based applications for critical business processes, yet many workflows remain manually intensive, creating operational inefficiencies and compliance risks. Despite significant technology investments, knowledge workers routinely navigate between eight to twelve different web applications during standard workflows, constantly switching contexts and manually transferring information between systems. Data entry and validation tasks
Enterprise organizations increasingly rely on web-based applications for critical business processes, yet many workflows remain manually intensive, creating operational inefficiencies and compliance risks. Despite significant technology investments, knowledge workers routinely navigate between eight to twelve different web applications during standard workflows, constantly switching contexts and manually transferring information between systems. Data entry and validation tasks Read More
