Search results for: 'algorithms software'

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...

The commercial vehicle industry is undergoing a major transformation, fueled by rapid technological advancements and rising demand for efficiency, safety, and sustainability. A standout innovation in this shift is prognostics, which is the ability to predict vehicle health and performance based on real-time data. This study takes a deep dive into p...

Virtual healthcare assistants are playing an instrumental role in improving healthcare delivery. They help patients take charge of their health through personalized reminders, symptom tracking, and health monitoring, and offer instant access to care by immediately answering queries and reducing appointment wait times. They support healthcare profes...

This Frost & Sullivan research service discusses advances in AI integration in Molecular Diagnostics, highlights key advantages of incorporating AI in the diagnostics workflow and roadblocks that have prevented it from becoming mainstream. While AI is widely used in radiology- and pathology-based diagnostics, its adoption is gradually increasing in...

Neural networks is an advanced computational technology that is designed and built to work much like neurons in the human brain. This technology uses various optimization algorithms that recognizes hidden patterns of raw data to correlate, classify, and give desired output through continuously learning and improving approach. Neural networks improv...