Growing demand for eco-conscious turf care and soil management highlights a shift toward sustainable materials and ...

A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...

As the democratisation of AI continues apace, organisational deployment of AI agents is rapidly becoming a reality. To take one example, in ...

Adversarial examples—images subtly altered to mislead AI systems—are used to test the reliability of deep neural networks.

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...

The language used to describe conflicts naturally reflects assumptions about how different forms of violence emerge and ...

The RansomHouse ransomware-as-a-service (RaaS) has recently upgraded its encryptor, switching from a relatively simple single-phase linear technique to a more complex, multi-layered method. In ...

Today, data is more valuable than ever and being able to respond instantly to new information is essential rather than a luxury. Traditional data processing methods, which often involve gathering ...

Abstract: Global navigation satellite system (GNSS) radio signals are extremely susceptible to interference in urban environments, and even multifrequency geodetic receiver observation data are often ...

Employers are drowning in AI-generated job applications, with LinkedIn now processing 11,000 submissions per minute—a 45 percent surge from last year, according to new data reported by The New York ...

Introduction: We present a theoretical foundation based on the spontaneous self-organized temporal criticality (SOTC) and multifractal dimensionality μ to model complex neurophysiological and ...

New research out of Finland is challenging the concept that all processed plant-based foods are unhealthy. The groundbreaking study reveals that food processing methods greatly affect the health value ...