A new AI model learns to "think" longer on hard problems, achieving more robust reasoning and better generalization to novel, unseen tasks.

In a study published in the journal Information Systems Research, Texas Tech University's Shuo Yu and his collaborators ...

Sophisticated criminal enterprises, like the international money-laundering organization that was charged in April 2025 for ...

With the hype around machine learning (ML) and the rush to transform businesses with it, unsurprisingly, not all ML projects ...

As AI transforms business, demand for robust infrastructure is soaring. For equipment finance firms, the moment to step in ...

These systems depend heavily on data annotation to train AI/ML models that enable real-time perception and decision-making. Raw data is collected from a suite of sensors, including LiDAR, radar, ...

The network attack detection model based on machine learning (ML) has received extensive attention and research in PMU measurement data protection of power systems. However, well-trained ML-based ...

The mobile app landscape is experiencing a profound transformation, primarily driven by the pervasive integration of Machine ...

Our ML-based UKB-DRP model incorporated ten easily accessible predictors with solid predictive power for incident dementia and AD within five, ten, and much longer years, which can be used to identify ...

E2E Networks Limited has been recognized as a 'Progressive' company in the global GPU as a Service (GPUaaS) space by the ...

Enterprises will want to evaluate how this game-changing move by the AI juggernaut can effectively enhance their AI and ...

As CMS gears up to implement its new Wasteful and Inappropriate Service Reduction model, one orthopedic surgeon is not too concerned about its day-to-day impact on the addition of prior authorization ...