Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. AI has a shiny front end. As everyone who’s used an ...

Businesses of a certain size that measure clicks, sensor readings, and other event-driven data produce datasets that can exceed millions or even billions of records. It’s no easy feat implementing a ...

Midbrain dopamine neurons signal reward prediction error (RPE), or actual minus expected reward. The temporal difference (TD) learning model has been a cornerstone in ...

AI inference is the process of using a trained model to make predictions or decisions on new, unseen data. Inference is typically faster and more lightweight than training. It's used in real-time ...

Unmanned Swarm Systems, defined by their distributed coordination among multiple unmanned units, have emerged as a transformative force across diverse high-stakes fields. In disaster rescue, USS can ...

The proposed framework for human performance reliability evaluation consists of three phases. First, data is obtained via subjective worker self-assessments and objective expert evaluations. Second, ...

If your AI-powered application is gaining traction, users are flooding in, and everything seems to be going great—until your system starts to buckle under the pressure. Latency spikes, costs spiral, ...

Artificial intelligence has many uses in daily life. From personalized shopping suggestions to voice assistants and real-time fraud detection, AI is working behind the scenes to make experiences ...