AI agent memory comprises multiple layers, each serving a distinct role in shaping the agent’s behavior and decision-making. By dividing […]
Category: agentic AI
Agentic AI might take years to transform security, but cyber defenders must prepare now
For the past two years, the world has been swept up in a rising tide of GenAI hype. The technology […]
Would AI super agents mean goodbye to apps as we know them?
In the Western world, we now have an app for everything. Shopping, banking, gaming, and even controlling the temperature in […]
Meet Open Deep Search (ODS): A Plug-and-Play Framework Democratizing Search with Open-source Reasoning Agents
The rapid advancements in search engine technologies integrated with large language models (LLMs) have predominantly favored proprietary solutions such as […]
70 percent of organizations are developing AI apps
Over 70 percent of developers and quality assurance professionals responding to a new survey say their organization is currently developing […]
Google DeepMind Researchers Propose CaMeL: A Robust Defense that Creates a Protective System Layer around the LLM, Securing It even when Underlying Models may be Susceptible to Attacks
Large Language Models (LLMs) are becoming integral to modern technology, driving agentic systems that interact dynamically with external environments. Despite […]
TxAgent: An AI Agent that Delivers Evidence-Grounded Treatment Recommendations by Combining Multi-Step Reasoning with Real-Time Biomedical Tool Integration
Precision therapy has emerged as a critical approach in healthcare, tailoring treatments to individual patient profiles to optimise outcomes while […]
Meet LocAgent: Graph-Based AI Agents Transforming Code Localization for Scalable Software Maintenance
Software maintenance is an integral part of the software development lifecycle, where developers frequently revisit existing codebases to fix bugs, […]
A Coding Implementation to Build a Document Search Agent (DocSearchAgent) with Hugging Face, ChromaDB, and Langchain
In today’s information-rich world, finding relevant documents quickly is crucial. Traditional keyword-based search systems often fall short when dealing with […]
Meet PC-Agent: A Hierarchical Multi-Agent Collaboration Framework for Complex Task Automation on PC
Multi-modal Large Language Models (MLLMs) have demonstrated remarkable capabilities across various domains, propelling their evolution into multi-modal agents for human […]