The Mind AI

Introduction to On-Device AI in Automation Large language models (LLMs) and vision-language models (VLMs) are increasingly considered for use beyond traditional data centers. In automotive and robotics sectors, there is growing interest in running AI agents directly on vehicles or robots. This approach promises benefits such as lower latency, increased reliability, and the ability to function without constant cloud connectivity. However, deploying these sophisticated AI systems on edge devices presents several challenges that affect automation and workflow efficiency. Popular Assumptions about Edge AI in Vehicles and Robots Many developers believe that embedding conversational AI and multimodal perception directly on vehicles or robots will seamlessly enhance automation workflows. The assumption is that local processing eliminates delays and dependence on networks, enabling real-time decision-making and improved autonomy. While this is an appealing vision, it overlooks key t...

Introduction to AI in Cancer Research Artificial intelligence (AI) is playing an increasingly important role in medical research. In particular, AI tools are being developed to better understand complex diseases like cancer. Microsoft researchers have recently introduced a novel approach that uses AI-generated virtual populations to model the tumor microenvironment. This approach aims to uncover hidden cellular patterns that may improve how cancer is studied and treated. Understanding the Tumor Microenvironment The tumor microenvironment consists of cancer cells and the surrounding cells, molecules, and blood vessels that support tumor growth. It is a complex system where many different cell types interact. These interactions influence how tumors develop and respond to treatments. However, studying the tumor microenvironment in detail is challenging due to its complexity and variability among patients. Challenges in Modeling Tumor Environments Traditional methods to study tu...