The hospitality industry is known for its dynamic nature, demanding a unique combination of interpersonal skills, mana ...
Asks if the current interest in learning organizations reflects real change within organizations or faddism. Traces the concept of organizational learning back to the late 1940s, discussing how the ...
Fostering high vaccination rates was one of the major public-policy challenges of the COVID-19 pandemic. Policymakers tried various strategies to encourage vaccination, including offering monetary ...
The conspiracy theory suggests that governments or secret organizations use lasers or microwave systems to ignite fires. Experts have repeatedly debunked these claims, attributing irregular burn ...
Abstract: Preference-based reinforcement learning (PbRL) is emerging as a promising approach to teaching robots ... as synthetic teachers in PbRL. We utilize Dempster-Shafer Theory to fuse individual ...
That's correct. We will have Marshfield Clinic Health System as a distinct and separate region within the organization, but still an integrated part of the organization. The way in which we're ...
“Simply, we are going to transfer ownership of key Mastodon ecosystem and platform components to a new nonprofit organization,” Mastodon says in a blog post, “affirming the intent that ...
Is anything real in Severance? Honestly, though, I was more intrigued by two of the theories that the show's stars didn't quickly shoot down as being illogical or mistaken. The first, because it ...
The fires are causing massive physical devastation. The social media response to them could be destroying democracy. By Steven Zeitchik Senior Editor, Awards When Hurricanes Milton and Helene ...
Technology, geopolitics, and consumer habits are driving an unprecedented rate of change at a time when the organizations are ... employee learning and development is more critical than ever ...
A learning-based scheme imposing the stability constraint is proposed in this work for modeling and stable control of unknown nonlinear system. Specifically, a linear representation of unknown ...
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