As drought- and wind-driven wildfires have become more dangerous across the American West in recent years, firefighters have tried to become smarter in how they prepare. They're using new technology and better positioning of resources in a bid to keep small blazes from erupting into mega-fires like the ones that torched a record 4% of California last year, or the nation's biggest wildfire this year that has charred a section of Oregon half the size of Rhode Island. There have been 730 more wildfires in California so far this year than last, an increase of about 16%. But nearly triple the area has burned -- 470 square miles. Catching fires more quickly gives firefighters a better chance of keeping them small.

This is a guest post by Kirk Borne, Ph.D., Chief Science Officer at DataPrime.ai, Kirk is also a consultant, astrophysicist, data scientist, blogger, data literacy advocate and renowned speaker, and is one of the most recognized names in the industry. A survey of 1,100 data practitioners and business leaders reported that 84% of organizations consider data literacy to be a core business skill, agreeing with the statement that the inability of the workforce to use and analyze data effectively can hamper their business success. In addition, 36% said data literacy is crucial to future-proofing their business. Another survey found that 75% of employees are not comfortable using data.

All the sessions from Transform 2021 are available on-demand now. Women in the AI field are making research breakthroughs, spearheading vital ethical discussions, and inspiring the next generation of AI professionals. We created the VentureBeat Women in AI Awards to emphasize the importance of their voices, work, and experience, and to shine a light on some of these leaders. In this series, publishing Fridays, we're diving deeper into conversations with this year's winners, whom we honored recently at Transform 2021. Briana Brownell, winner of VentureBeat's Women in AI entrepreneur award, didn't enter this field to earn accolades.

Machine learning requires creating a robust training dataset since the training performs as the seed for subsequent model evaluation. If the training data is corrupted, the model will perform badly…

Artificial intelligence could be used to predict who is at risk of developing type 2 diabetes – information that could be used to improve the lives of millions of Canadians. Researchers at the University of Toronto used a machine learning model to analyze health data, collected between 2006 to 2016, of 2.1 million people living in Ontario. They found that they were able to use the model to accurately predict the number of people who would develop type 2 diabetes within a five-year time period. The machine learning model was also able to analyze different factors that would influence whether people were high or low risk to develop the disease. The results of the study were recently published in the journal JAMA Network Open.

Fox News congressional correspondent Jacqui Heinrich has the latest from Capitol Hill on'America Reports' The FBI was tipped off to a Texas man arrested Friday for allegedly assaulting police officers during the Capitol riot after messaging with a woman he met on the dating app Bumble in January, the Justice Department announced. Andrew Quentin Taake, 32, was charged with assaulting an officer, obstructing an official proceeding, and other offenses for his actions during the riot, which allegedly included pepper-spraying several officers and assaulting others with a whip-like weapon. The FBI received a tip from a woman he met on the online dating app, Bumble, on Jan. 9. Screenshots of their messages show that Taake sent the woman a selfie that was taken "about 30 minutes after being sprayed," allegedly telling the potential suitor that he was at the riot "from the very beginning." A woman who Andrew Quentin Taake matched with on Bumble tipped off the FBI about his alleged Capitol riot involvement. Taake allegedly flew to Washington, D.C., from Houston the day before the riot and returned home a few days later.

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It offers courses in data science and business analytics, artificial intelligence and machine learning, design thinking, cloud computing, cyber security …