Atharv Gyan

1. What Is Neuralink’s Brain Computer Interface? Neuralink’s core technology is the N1 implant: a coin sized, wireless device embedded flush with the skull, connected to the brain via up to 96 ultra-thin polymer “threads” carrying over a thousand electrodes. These electrodes record neural spikes and can stimulate specific brain regions. A custom surgical robot places the threads with micron-scale precision, minimizing tissue damage. The implant streams neural data over Bluetooth to an external receiver and is powered wirelessly, eliminating bulky batteries. 2. Timeline of First-in-Human Trials May 2023: FDA grants an Investigational Device Exemption, greenlighting the first clinical trial after addressing safety concerns around batteries and wire migration. September 2023: Recruitment opens for the PRIME study, targeting participants with quadriplegia due to ALS or cervical spinal cord injury. January 2024: The first human patient, later revealed as 30 year old ...

Introduction In recent years, the convergence of machine learning (ML) and the Internet of Things (IoT) has given rise to Tiny Machine Learning (TinyML), a paradigm that enables on-device inference on resource-constrained microcontrollers and edge devices. TinyML shifts intelligence from centralized cloud servers to the very edge of networks, unlocking new possibilities in privacy, latency, and energy efficiency. This article provides a comprehensive, in-depth exploration of TinyML its origins, core frameworks, optimization techniques, real-world applications, challenges, and future directions designed as a standalone primer for developers, researchers, and technology enthusiasts. What Is TinyML? Historical Context and Definition TinyML is broadly defined as the practice of running ML models on microcontrollers and low-power embedded systems, typically operating in the milliwatt (mW) power range or below. Historically, ML inference required significant computational resources, rel...