Search results for: 'sens sensor'

Advanced visualization and robotic tools during the pre-operative and intraoperative phases of a procedure allow surgeons to identify and localize targets so that they can navigate and perform complex surgeries with precision, minimizing invasiveness, improving recovery times, and lowering the risk of post-procedure complications. This Frost & ...

This report provides a comprehensive analysis of the emerging microrobotics landscape in precision medicine with a focused lens on minimally invasive surgery. It examines the technological evolution of microrobots from magnetically guided prototypes to intelligent, sensor-rich systems capable of targeted interventions at submillimeter scales. The r...

The global continuous glucose monitoring (CGM) market is undergoing a fundamental transformation as the technology evolves from a prescription-led glucose monitoring device into an AI-connected metabolic intelligence ecosystem. Market expansion is increasingly driven by the emergence of over-the-counter (OTC) CGM, growing adoption among non-insulin...

Smartphone-based point-of-care (POC) diagnostics are rapidly emerging as medical diagnostics, enabling remote or self-monitoring tools for general wellness and a range of health conditions. Smartphones enable low-cost, rapid, and handy POC diagnostics. Intrinsic sensors of smartphones or extrinsic sensing devices working with intelligent data analy...

Wearable Technology involves body worn electronics that can perform various functionalities such as sensing, communicating, and computing. Wearables’ is the result of convergence of various technologies in sensors, microelectronics, and ICT. Wearable technology impacts the lives of millions of people who are adopting this technology primarily to im...

This study examines the emerging landscape of neuromorphic computing and its role in enabling low-power, real-time, brain-inspired intelligence across edge and autonomous systems. It reviews advancements in spiking neural networks, memristor-based computing in memory, event-driven vision sensors, and hybrid neuromorphic and conventional architectur...

The escalating compute and power demands of edge AI are exposing the limits of conventional von Neumann architectures. Manufacturers deploying always-on sensing, real-time inference, and autonomous decision-making at the edge are constrained by the energy, latency, and memory-bandwidth ceilings of standard NPUs and MCUs. Traditionally, edge AI work...

The naval electro-optical/infrared (EO/IR) market will continue to grow and evolve as countries continue to implement naval modernization and force expansion programs as tensions around the world rise and neglected fleets reach their expected end-of-life dates. The need for modern and more capable multi-role fleets comes as European and North Ameri...

Transforming from traditional farming techniques to adopting precision agriculture solutions requires substantial capital investment. This investment decreases on a year-over-year basis and at the same time, the savings per unit of production increases exponentially. Farmers adapting to modern agriculture techniques have been able to carry out farm...