Good data is a key component to AI innovation and machine learning | Technology - Federal News Network

When the Biden Administration launched an AI task force earlier this month to create a path to “democratize access to research tools to promote AI,” the goal of access was paramount by Peter Musurlian, producer at Federal News Network.

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“The task force consists of some of the top experts in academia and industry,” said Dinesh Manocha, a professor of computer science and electrical and computer engineering at the University of Maryland, on Federal Monthly Insights – Repurposing Manpower through Automation. “They recognize the importance and they’re pushing for more development in the field by making good data available. So data is a very key component of AI and machine learning-based methods.

Manocha said AI is as old as the field, pointing to “Founding Father” Alan Turing, whom he said laid the foundations in the 1950s.

“Machine learning is one sub-area in the broader field of AI,” said Manocha on Federal Drive with Tom Temin. “All the recent developments in AI, all the penetration in the real world, has primarily been driven by the excitement in last five to 10 years from machine learning.”...

Focusing on data and algorithms, AI and machine learning imitate the way humans learn. “So you know one of the grand challenges in AI is how can we emulate human-like intelligence, which is still a big open problem,” Manocha said. “There have been a lot of approaches pursued and proposed by a wonderful researchers the last 50 to 60 years.”

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Source: Federal News Network