AI News, Computer Science Programs in Colorado artificial intelligence

Boulder, Denver economies highly susceptible to disruption from artificial intelligence

Anyone who frequents fast-food restaurants will sooner or later run across a kiosk designed to replace a cashier.

Artificial intelligence, which uses computers to handle mental tasks, could prove just as disruptive for white-collar workers in the years ahead, according to a new study from the Metropolitan Policy Program at Brookings.

High-tech hubs like Boulder, and to a lesser degree metro Denver, are vulnerable economically to the changes coming from the widespread adoption of AI expected in the years ahead.

Surprisingly, agriculture had the greatest exposure, followed by science, business, finance, technology, manufacturing and natural resources Among workers, white and Asian-American men are the most vulnerable to job disruption in the years ahead.

But it is still early days, and over time, fewer people may be needed to complete jobs they now take great pride in handling with their brains, not their backs.

For example, supercomputers have gotten better at studying scan and lab results to more accurately identify certain types of cancers.

Despite learning technological skills, manufacturing workers are at risk because computers could eventually handle running automated systems and production line robots.

Computer Science Programs in Colorado

Encompassing a large swathe of the Southern Rocky Mountains, Colorado is known for its beautiful outdoor landscapes.

Home to more than 30 public colleges, 100 private universities, 255,000 students, and 140 libraries, the state awards more than 37,000 undergraduate degrees and 10,000 graduate degrees each year.

For example, Colorado Technical University offers both on-campus and online computer science degrees at the associate, bachelor's, master's, and doctoral levels.

Job options include engineering, web development, programming, security and systems analysis, network administration, IT architecture, and information research.

The advent of computers and information technology has created a continual need for new, more advanced computer software systems, triggering stable job growth in the computer science field.

Because of its relatively low cost of living compared to other technological hubs, Denver is known for being one of the best cities for computer science jobs, especially with Google's recently expanded campus there.

With more than 13 Colorado computer science schools and high concentrations of tech startups and global IT companies, Colorado is an excellent place to attend school for computer science.

A master's degree or graduate certificate teaches key concepts about computer science and provides the opportunity to specialize in a specific field, such as software engineering or cyber security science.

University of Colorado Pursues Role for AI in Psychiatry

(TNS)-- In the prevailing there’s-an-app-for-that culture, perhaps it should not be surprising that researchers are exploring machine learning that could bring artificial intelligence to the practice of psychiatric diagnosis.

Foltz said he and Elvevåg met a number of years ago at a conference where he was giving a talk about how to analyze coherence in language using technology, and she was doing research in schizophrenia at the National Institute of Mental Health.

Together, Foltz and Elvevåg are developing machine learning technology able to detect day-to-day changes in speech that can suggest mental health deterioration, such as disjointed speech or sentences that don’t track a logical pattern, which can be symptomatic for schizophrenia.

“In our case, it’s learning how to characterize language and how people say things, when comparing the language of people with mental illness versus the language of people who don’t have mental illness,”

“One of the things we’re looking at is, how could you set up ways where you could do better remote monitoring of patients, where they don’t have to come into the office, and they could still alert a clinician when there are indications that a patient might need help, or follow-up?”

Collaborating with Chelsea Chandler, a computer science graduate student at CU Boulder, as well as other colleagues, Foltz and Elvevåg developed an AI system that assesses speech samples and compares them to previous samples by the same patient, as well as the broader population.

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