More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

From rushing through prep to misjudging students’ readiness for a task to teaching the way they were taught, experienced ...

Many engineering challenges come down to the same headache—too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be ...

A recent study from researchers at Anthropic, titled ‘How AI Impacts Skill Formation,’ provides a rigorous look into this ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

Neural responses during statistical learning reveal dissociable dynamic effects of expectation, supporting the opposing process theory within trials while demonstrating contrasting effects across ...

In a new report, business leaders aren't confident in security tools, but machine learning is being used to close the gap.

Just as calculators once were banned from classrooms, and later embraced, AI technology is finding greater acceptance among ...

Read more about AI-driven air quality system promises faster, more reliable urban health warnings on Devdiscourse ...

Discover Experiential Reinforcement Learning (ERL), a revolutionary AI training paradigm that allows language models to learn from their own reflections, turning failure into structured wisdom without ...

Theresa S Betancourt and colleagues argue that implementation and systems strengthening are urgently needed to integrate mental health and psychosocial support interventions across health, education, ...