Search results for: 'chip design and Artificial Intelligence'

Artificial Intelligence (AI) has emerged to be one of the most essential technologies to develop machine intelligence. The technology has advanced significantly over the ages to empower applications and machines to learn from its own experiences and perform autonomously. Technology evolution in the AI space is continuously driving the development o...

Enterprise digitalization and surging adoption of IoT applications have led to voluminous amounts of complex structured and unstructured data that require processing to draw meaningful insights. A Frost & Sullivan voice of customer (VOC) global survey on artificial intelligence (AI) finds that 43% of enterprises list data-centricity as a key busine...

The demand for chips has experienced exponential growth in recent decades. Presently, the importance of these key hardware components is even higher due to increasing workload demands from innovations like generative artificial intelligence (AI) and machine learning (ML), which are also driving up energy consumption and costs. However, pandemic-ind...

In this report, Frost & Sullivan examines the role of AI in the telecommunications services industry. Due to declining revenue from core telecom services, telecommunications service providers (telcos) are broadening their operations and leveraging AI to transform telecom services and create significant business value. We identify telcos using A...

Artificial intelligence (AI) is ushering in a new era of possibilities for intelligence gathering and analysis. While AI has been a part of the US Intelligence Community (IC) for some time, the rapid acceleration of AI capabilities is drastically transforming the landscape. The vast amount of information that the US IC collects from an array of se...

Artificial intelligence (AI) uses algorithms and large data sets to find underlying relationships and drive improved business outcomes. While still a nascent technology, AI is experiencing increased implementation and adoption across industries to innovate business models, drive operational efficiencies, and create strategic differentiation. Global...

Artificial intelligence (AI)- and machine learning (ML)-based technologies are being leveraged for materials research and are replacing experimental and simulation-based research approaches. The need to accelerate materials discovery and the desired accuracy in the properties of materials is driving researchers to seek more granular insights from ...

With the increasing sophistication and occurrences of security threats across both cyber and physical ecosystems, businesses must adopt more advanced systems and feature-rich platforms to enhance their security posture. Digital intelligence solutions have emerged as a central component of a converged, intelligence-driven security operation. This an...

Artificial Intelligence (AI) applications have captured the attention of enterprise and consumer segments. AI technology implementation has increased, and it is being adopted across industries and business functions worldwide driving operational efficiencies and creating strategic differentiation. In addition, with the recent disruption in the gene...