Recent advancements in artificial intelligence are significantly expanding its applications, particularly through original research and development. Pioneering efforts are being made in both ubiquitous personal AI and precision healthcare. For personal AI, a new full-stack, open-source platform, including a RISC-V based NPU, has been introduced to enable powerful, always-on machine learning and small transformer models on battery-constrained edge devices like wearables. This innovation addresses challenges in compute and privacy with hardware-enforced security, facilitating features such as ambient sensing and real-time translation. Concurrently, in medical research, an AI-powered tool leveraging convolutional neural networks has been developed to identify cancer-related mutations with exceptional accuracy. This flexible machine learning model, designed to outperform existing methods, aims to accelerate cancer research, improve treatment decisions, and advance precision medicine by pinpointing somatic variants in various cancer types.