Fraud remains one of the biggest challenges for betting platforms. This article explains how machine learning helps spot ...

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

Google DeepMind researchers have introduced ATLAS, a set of scaling laws for multilingual language models that formalize how model size, training data volume, and language mixtures interact as the ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

The closer organizations come to harmonizing accuracy, accessibility and AI, the more effectively they can unlock value that ...

ZoomInfo reports a growing demand for GTM engineers, pivotal in automating revenue operations, with competitive salaries and ...

As global carriers in aggressively pursue AI-driven automation, U.S. operators require architectural frameworks that enable innovation and manage infrastructure.

Praveen Shiveswara Sridharamurthy has spent more than two decades architecting cutting-edge solutions for oil and gas ...

AI factories meet the computational capacity and power requirements of today’s machine-learning and generative AI workloads.

John Eccleshare shares insights on AI’s impact on cybersecurity, its benefits, and how best to approach its regulation ...

Abstract: Artificial Intelligence (AI) has emerged as a transformative tool in precision agriculture, facilitating datadriven decision-making and crop improvement. In the context of agricultural crops ...