Search results for: 'algorithms software'

Sensors are an integral component found in most digital devices, from smartphones to intelligent vehicles. Industrial Internet of Things, smart cities and factories, autonomous cars, and telehealth create a need for sensor solutions that offer advanced data analytics for efficient usage of energy sources, improved health and safety, and environment...

This edition of the Cyber Security Technology Opportunity Engine (TOE) highlights emerging cybersecurity innovations, focusing on AML, fraud prevention, runtime application security, and zero trust architecture. These solutions reduce manual threat management, enhance identity protection, and utilize machine learning for real-time detection and res...

As industries across the globe pursue digitization across functions, more and more data are being generated and utilized to empower decision making and insight generation. As the volume and complexity of data increases, it is also becoming difficult for traditional machine learning (ML) algorithms to make sense of a large number of variables. The l...

The emergence of post-quantum cryptography (PQC) reflects a significant problem: powerful quantum computers may soon compromise the cryptographic algorithms underpinning today’s digital economy, threatening the confidentiality and integrity of sensitive data and communications. Addressing this risk is far more complex than simply replacing vulnerab...

A major challenge in drug discovery is the limited number of gene targets that can be targeted for the development of a drug molecule. Only close to 400 genes are proven targets for US FDA-approved drugs. 80% of human genes are unexplored as targets, and some are considered undruggable. The identification and the selection of novel drug targets (p...

Conventional artificial intelligence (AI)-enabled processors are based on rule-based algorithms and are optimized for applications, such as real-time monitoring and reporting. However, with increasing demand for fully autonomous solutions, there is a need for perceptive solutions capable of making probabilistic decisions, replicating the human brai...

12 Dec 2023  |  Global  |  Technology Research

Ethical AI: Ensuring Accountability from Automation

Transparent data, bias mitigation, and privacy-enhancing technologies to ensure trustworthy data practices

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Artificial Intelligence (AI) helps reduce or even eliminate human interventions in a wide range of tasks such as speech recognition, decision-making, visual perception, and language translation. AI technologies are increasingly integrated into daily lives, and its influence is growingly visible across various industries. The approach emphasizing...

29 Oct 2020  |  North America  |  Market Research

Technology Innovations and Evolving Standard of Care Fueling Growth of the Global Hemodynamic Monitoring Systems Market, 2025

Increased Competitive Intensity Driving Transformational Growth through M&A, Innovative Business Models, and New Product Development

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Hemodynamic monitoring aims to guide medical management of critically ill patients who are prone to hemodynamic instability. It performs the function of assessing the blood volume and oxygen perfusion, along with other parameters, to prevent or treat organ failure and improve the outcomes for patients. This study aims to analyze and forecast the m...

Immuno-oncology is based on the premise that tumors escape detection by the immune system, contributing to their growth and progression. Checkpoint inhibitor pathways act as the checks and balances that allow T-cells to recognize foreign substances or tumors. This global study looks at the immune-oncology therapeutics pipeline for checkpoint inhibi...