Abstract: Model predictive controllers use dynamics models to solve constrained optimal control problems. However, computational requirements for real-time control have limited their use to systems ...

Despite all the new platforms, algorithms and trends, the way people make decisions hasn’t changed nearly as much.

Executives approved a bold AI roadmap. Cloud spending climbed 40, 50, even 70 percent. And yet the AI workloads that made ...

Across business and politics, leaders are being held accountable for outcomes that depend on conditions far beyond the ...

AI-Enhanced Problem-Based Learning in Pathology Technology: An OBE-Driven Triadic Model of Clinical Problem, AI Validation, ...

While there have been many sober warnings about AI and recursive self-improvement, Arianna Huffington argues that it is a ...

Leaders from Sinclair, Hearst Television, Graham Media Group and more unpacked advertising’s biggest pain points — and the ...

Hybrid sellers should understand when to rely on AI and when to rely on their own experience. That distinction is likely to ...

Please do not cross-post, i.e. ask the same question in more than one forum, unless it's suggested that you have posted in the wrong place, or unless you receive total silence in one forum. In the ...

New University of Otago–Ōtākou Whakaihu Waka research shows that head injury data collected from smart mouthguards is run ...

Some of America's largest home insurers are pricing wildfire risk at dramatically different levels of precision - and the gap ...

As cybersecurity platforms embrace agentic AI, organizations must balance detection performance against the escalating costs ...