Pastor and Project H.O.O.D. founder Corey Brooks says the'honest work' learned through trade schools could be the key out of poverty for many struggling in today's job market wanting to'improve their lives.' The crime of post-60s liberalism is that it created permanent Black underclasses all over America, including on the South Side of Chicago where I live. The schools here are poor. Opportunities have been replaced by government handouts. Violence robs far too many families of their loved ones.

MikeroweWORKS Foundation founder Mike Rowe joins'The Brian Kilmeade Show' to discuss how AI and robots threaten white-collar jobs, as the nation faces a need for blue-collar workers. Mike Rowe is sounding the alarm about the future of white and blue-collar jobs, and is urging young Americans to rethink their career choices due to threats from artificial intelligence. The former star of the shows "How America Works" and "Dirty Jobs" sat down with Fox News Radio host Brian Kilmeade to discuss the outlook for the U.S. job market amid recent developments from President Donald Trump's administration to invest in domestic energy and artificial intelligence. Trump visited Pittsburgh on July 15 to announce a 90 billion investment in data centers and other energy projects in Pennsylvania. Rowe was also present at the event, dubbed the Energy and Investment Summit, at Carnegie Mellon University.

Fox News' Chad Pergram previews the Senate's Tuesday hearing with acting U.S. Secret Service Director Ronald Rowe Jr. and FBI Deputy Director Paul Abbate as lawmakers continue investigating the security lapses at Trump's Butler rally. Acting Secret Service Director Ronald Rowe, Jr. admitted to the Senate on Tuesday that the assassination attempt against former President Trump was "a failure of the Secret Service," and not local law enforcement. Rowe's admission was the most direct assignment of guilt by the Secret Service and investigators since the July 13 shooting. The acting director appeared before the Senate Judiciary and Homeland Security committees on Tuesday alongside FBI Deputy Director Paul Abbate. Rowe detailed the failure of a drone detection system that was supposed to be online before shooter Thomas Matthew Crooks conducted his own reconnaissance the day of the rally.

Turkey gets all the attention. Cranberry sauce ruffles feathers. But pumpkin pie is the lovable staple many Americans crave on Thanksgiving. And many don't want to make it themselves. That's why Sam's Club, a retail and grocery warehouse owned by Walmart, is using artificial intelligence to predict how much pie each of its nearly 600 stores needs to make for the holidays.Subscribe to The Post Most newsletter for the most important and interesting stories from The Washington Post. Their model use

This content can also be viewed on the site it originates from. The salvage yard at M. Maselli & Sons, in Petaluma, California, is made up of six acres of angle irons, block pulleys, doorplates, digging tools, motors, fencing, tubing, reels, spools, and rusted machinery. To the untrained eye, the place is a testament to the enduring power of American detritus, but to Foley artists--craftspeople who create custom sound effects for film, television, and video games--it's a trove of potential props. On a recent morning, Shelley Roden and John Roesch, Foley artists who work at Skywalker Sound, the postproduction audio division of Lucasfilm, stood in the parking lot, considering the sonic properties of an enormous industrial hopper. "I'm looking for a resonator, and I need more ka-chunkers," Roden, who is blond and in her late forties, said.

A key functionality provided by interactive narrative systems is narrative adaptation: tailoring story experiences in response to users' actions and needs. We present a data-driven framework for dynamically tailoring events in interactive narratives using modular reinforcement learning. The framework involves decomposing an interactive narrative into multiple concurrent sub-problems, formalized as adaptable event sequences (AESs). Each AES is modeled as an independent Markov decision process (MDP). Policies for each MDP are induced using a corpus of user interaction data from an interactive narrative system with exploratory narrative adaptation policies. Rewards are computed based on users' experiential outcomes. Conflicts between multiple policies are handled using arbitration procedures. In addition to introducing the framework, we describe a corpus of user interaction data from a testbed interactive narrative, CRYSTAL ISLAND, for inducing narrative adaptation policies. Empirical findings suggest that the framework can effectively shape users' interactive narrative experiences.

Recent years have witnessed growing interest in data-driven approaches to interactive narrative planning and drama management. Reinforcement learning techniques show particular promise because they can automatically induce and refine models for tailoring game events by optimizing reward functions that explicitly encode interactive narrative experiences' quality. Due to the inherently subjective nature of interactive narrative experience, designing effective reward functions is challenging. In this paper, we investigate the impacts of alternate formulations of reward in a reinforcement learning-based interactive narrative planner for the Crystal Island game environment.

In a proof-of-concept study, education and artificial intelligence researchers have demonstrated the use of a machine-learning model to predict how long individual museum visitors will engage with a given exhibit. The finding opens the door to a host of new work on improving user engagement with informal learning tools. "Education is an important part of the mission statement for most museums," says Jonathan Rowe, co-author of the study and a research scientist in North Carolina State University's Center for Educational Informatics (CEI). "The amount of time people spend engaging with an exhibit is used as a proxy for engagement and helps us assess the quality of learning experiences in a museum setting. It's not like school--you can't make visitors take a test."

Multi-task learning is an approach in which one model is asked to perform multiple tasks. "In our case, we wanted the model to be able to predict whether a student would answer each question on a test correctly, based on the student's behavior while playing an educational game called Crystal Island," says Jonathan Rowe, co-author of a paper on the work and a research scientist in North Carolina State University's Center for Educational Informatics (CEI). "The standard approach for solving this problem looks only at overall test score, viewing the test as one task," Rowe says. "In the context of our multi-task learning framework, the model has 17 tasks -- because the test has 17 questions." The researchers had gameplay and testing data from 181 students.

A link has been posted to your Facebook feed. LOUISVILLE – The culture surrounding video games is often shrouded in stereotypes and negative connotations. How often have we heard the narrative, especially following mass shootings in America, that video games are linked to violent behavior. Or that people who play video games are "basement dwellers" with no life. Or even the idea that all video game developers are Silicon Valley tech bros and it's a "man's world."