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The future of Artificial Intelligence (AI) lies in multimodal systems that can process and understand text, images, voice, and video simultaneously. This convergence is transforming industries by creating smarter, more human-like interactions between technology and users. What is Multimodal AI? Unlike traditional AI models that work with only one data type, multimodal AI integrates multiple
Artificial Intelligence (AI) is redefining the way software is designed, developed, and deployed. By integrating AI into software architecture and development tools, organizations gain improved efficiency, faster delivery, and smarter decision-making. However, this transformation also comes with challenges around complexity, ethics, and trust. How AI Transforms Software Architecture AI empowers software architects to create adaptive
Artificial Intelligence (AI) is reshaping the cybersecurity landscape in 2025. While AI strengthens threat detection, automated defenses, and real-time monitoring, it also introduces new cyber risks and ethical concerns. Businesses must understand both sides of this revolution to protect digital infrastructure and maintain trust. The Role of AI in Cybersecurity AI technologies like machine learning,
Artificial Intelligence (AI) has taken the world by storm with large language models (LLMs) powering chatbots, virtual assistants, and enterprise solutions. But while LLMs are powerful, they come with high costs, heavy energy usage, and complex infrastructure needs. This is where Small Language Models (SLMs) and efficient AI are making a game-changing impact. In this