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

The study provides an overview of the upcoming technologies, features, services and trends pertaining to digital assistants in the automotive industry. Digital assistants have evolved from their infotainment use cases to vehicle and driver safety use cases. Original equipment manufacturers (OEMs) and Tier I suppliers are significantly investing in ...

Medical coatings range from lubricious to antimicrobial to hydrophobic; each type of coating is used on a multitude of devices for many different applications to serve different purposes. For instance, lubricious coatings help in the easy traversing of medical consumables such as a catheter into the patient, thereby reducing the patient’s discomfor...

The convergence of artificial intelligence and augmented reality is transforming business applications and is likely to have a profound impact on customer experience and the way businesses work. Computer vision, an artificial intelligence technology, allows computers to understand the objects seen through cameras, which are identified and labeled u...

Artificial intelligence (AI) and machine learning (ML) have been adopted widely across industries over the years due to the multifaceted benefits that the technologies bring about. AI and ML have been also increasingly adopted across industries, from such as healthcare, education, information and communication technologies (ICT), logistics, marit...

The aim of this study is to offer an outlook on the driver information system (DIS) market in the North American and European trucking industry for 2017–2025. The study also offers actionable information and forecasts of the key trends and metrics that are likely to influence the growth and development of the DIS market.--BEGIN PROMO--Research Scop...

This research focusses on legislative measures taken by governments globally to adopt and implement high-end battery technology, and bring in new business models for private and public sectors to develop battery thermal management systems (BTMS). Private and public sectors have constantly provided investments and funding to OEMs, Tier I suppliers, ...

Traditional cloud computing models sends data from the device to the cloud for data analysis and the decision is sent back to the device for implementation. The agility of cloud computing is great but not enough to overcome certain challenges such as latency, bandwidth, processing the data for real-time decision making, costs associated with data t...

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...

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...