In a world increasingly reliant on real-time data and uninterrupted digital services, Prabhu Govindasamy Varadaraj presents a transformative vision for system observability. With expertise rooted in ...

HealthSecureNet operates through a three-tiered machine learning architecture that combines Gradient Boosting and Support ...

The study begins by identifying key deficiencies in traditional spam filtering systems. Classic rule-based methods and machine learning classifiers such as Naïve Bayes, Support Vector Machines (SVM), ...

Engineered tin dioxide nanosensors combined with deep learning enable precise gas classification, improving detection in ...

Sarvesh Kumar Gupta's has been marked by significant contributions to major data architecture projects, where he has honed ...

In a defining moment for Arabic-language artificial intelligence, CNTXT AI has unveiled Munsit, a next-generation Arabic ...

Rather than treating the caste census as a battlefield between competing political visions, we could reimagine it as a ...

One of the biggest early successes of contemporary AI was the ImageNet challenge, a kind of antecedent to contemporary ...

Varsha Agarwal is the Head of Information Security at Prosper Marketplace. AI in cybersecurity is one of those buzzwords that ...

In today’s digital transformation era, scientific inquiry is increasingly guided by computational tools that uncover intricate biological mechanisms. Sarika Kondra, along with co-authors Feng Chen, ...