Search results for: 'SYSTEMS AND METHODS FOR AI-ASSISTED SURGERY'

In today’s world, while robots have the capability to do some things more efficiently than humans, humans are still much wiser when it comes to real-time decision-making capability. One such application that comes to light is driving and navigation. For example, decisions, such as stopping the vehicle at the right place, watching for a traffic sign...

This study examines the technology landscape, commercialization progress, and future growth opportunities of wide-bandgap (WBG) semiconductor materials, with a primary focus on silicon carbide (SiC), gallium nitride (GaN), and gallium oxide (Ga₂O₃) for power and RF electronics. It evaluates how these materials enable higher efficiency, greater powe...

The evolution in autonomy and increase in the adoption of driver assistance systems have generated a need to sense and perceive the surrounding environment of a vehicle entirely and accurately. The fusion of forward-looking sensor data has given OEMs and Tier-I suppliers opportunities to offer multiple ADAS applications at low costs, while providin...

The central goal of this study is to identify the core sets of safety features that consumers in Canada desire, as well as their willingness to pay. Multiple analytic methods were triangulated to ensure robust results. Central to this is a pioneering market modeling approach using Adaptive Conjoint Analysis (ACA) data. Purchase intent questions wer...

The study covers the hybrid and electric passenger vehicles market in 4 ASEAN countries: Indonesia, Malaysia, Thailand, and Vietnam. With a market overview based on 2022, the historical period of the study covers 2020 2021, while the forecast period is from 2023 to 2030. The market overview encompasses the overall 4-wheeler passenger vehicle mar...

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 aim of the study is to analyse customer preferences and willingness to pay for active and passive safety systems and features in Passenger Cars: 1. Evaluate customer perception towards current active and passive safety systems and their benefits 2. Establish desirability and willingness to pay for customer/vehicle groups within regional m...

The Indian automotive industry is at a tipping point, with a range of factors, such as increasing urbanization and congestion, shifting consumer preference towards connectivity, the transition toward electric vehicles, and growing demand for safer cars, changing the dynamics of the market. The Indian government s push to reduce road fatalities and ...

Video telematics solutions are poised to become the norm amongst enterprise fleets in the initial phase, owing to reduced vehicle claims, efficient driver exoneration, and higher realized return on investment. Medium and heavy-duty commercial vehicles for long-haul vehicle operations are primarily poised to be early adopters of video telematics, gi...