Artificial Intelligence (AI)

Artificial Intelligence (AI) is revolutionizing healthcare by enhancing diagnostics, personalizing treatment plans, and streamlining administrative tasks. At our current stage in technology, AI applications range from predictive analytics and medical imaging to virtual health assistants and drug discovery. Writing about AI in our blog is essential to highlight its transformative impact, address ethical considerations, and guide healthcare professionals in leveraging AI effectively.

10 Open-Source AI Tools to Build Your Personal Digital Brain, Your Own Private ChatGPT Alternative

Artificial Intelligence

10 Open-Source AI Tools to Build Your Personal Digital Brain, Your Own Private ChatGPT Alternative

The shift toward local AI assistants marks an exciting development in personal computing, putting powerful AI capabilities directly in users' hands. These open-source tools transform how we work by offering privacy-focused alternatives to cloud-based AI services. Local Large Language Models (LLMs) form the backbone of these personal AI assistants,

By Hazem Abbas
Local Document Intelligence: 15 Zero-Cost Apps to Chat with Your Files - AI Chat Agents for your Documents

Healthcare

Local Document Intelligence: 15 Zero-Cost Apps to Chat with Your Files - AI Chat Agents for your Documents

Document Management Evolution: Law firms, medical practices, and financial investigators can now sift through vast document collections in moments. Smart tools quickly surface old records, spot key details automatically, and slash time spent hunting through files. Teams can simply ask questions about their documents and get instant answers, helping them

By Hazem Abbas
Magic Framework Moves to Closed-Source: The Future of Low-Code

News

Magic Framework Moves to Closed-Source: The Future of Low-Code

Magic is an AI-based low-code and no-code software development automation framework. Originally designed to empower developers by automating repetitive tasks, Magic uses artificial intelligence to streamline backend development, particularly for database-driven applications. The framework allows users to build scalable applications with minimal code, supporting both front-end and back-end automation. However,

By Hazem Abbas