Tuesday, May 17, 2022

US Senate Produces Bipartisan National AI Strategy Proposal; More Time to Comment for NIST

By AI Trends Staff More than $2 billion in federal spending and several policy initiatives are the cornerstones of a new bipartisan bill that would...

More Summer Reading: 100 Best Artificial Intelligence Books of All Time

By AI Trends Staff As featured on CNN, Forbes and Inc – BookAuthority identifies and rates the best books in the world, based on public...

Top AI Books for Summer Reading in 2019

The recommended AI books on the list of published by MarkTechPost is selected on the basis of their reviews on Amazon, social media influence,...

$15M Global Learning XPRIZE Names Two Grand Prize Winners

XPRIZE, the global leader in designing and operating incentive competitions to solve humanity’s grand challenges, announced two grand prize winners in the $15M Global Learning...

Preparing Students for the Rise of Artificial Intelligence In the Workforce

By Dr. Greg Naterer, Dean, Faculty of Engineering and Applied Science, Memorial University of Newfoundland The future impacts of artificial intelligence (AI) on society and...

CIOs See AI As Disruptive, Fueling Need to Reskill Your Workforce

AI is considered the most disruptive technology, according to Gartner’s 2019 CIO Survey (it includes over 3,000 CIOs from 89 countries). So yes, this is big...

What New Data Scientists Need to Know for Their First Job

By J.T. Wolohan, Data Scientist, Booz Allen Hamilton I’m a lead data scientist at the consulting firm and federal contracting giant Booz Allen Hamilton—a leader in...

Government is Reskilling Workforce to Handle Disruptions from Spread of AI

The future of work will be dramatically transformed by artificial intelligence, so Americans should be prepared to engage in lifelong learning, tech experts said...

Keeping Up In An AI-Driven Workforce

By AI Trends Staff AI will change the future of work, experts say. To keep up, we’ll need a culture of lifelong learning. “New technologies are...

Here Are 10 Statistical Techniques Data Scientists Should Master

1. Linear Regression In statistics, linear regression is a linear approach to modeling the relationship between a scalar response (or dependent variable) and one or...




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