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 karen roby


Machine learning is a great tool for cybersecurity, but be cautious, expert says

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TechRepublic's Karen Roby spoke with Chris Ford, VP of product for Threat Stack, about supervised and unsupervised machine learning. The following is an edited transcript of their conversation. Christopher Ford: Supervised and unsupervised learning are techniques that help to facilitate different use cases within the sphere of machine learning. As your viewers know, machine learning is used to gain insights out of data sets. I would say that the crucial difference between unsupervised learning and supervised learning is that the former, unsupervised learning, it's easier to get started with because it does not require labeled data.


Intel works with community colleges to address AI skills gap

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TechRepublic's Karen Roby spoke with Carlos Contreras, AI and digital readiness director for Intel, about addressing the artificial intelligence skills gap with the AI for Workforce Program. The following is an edited transcript of their conversation. Karen Roby: We talk a lot about the tech skills gap. It seems like AI and cybersecurity are the two we tend to talk about a lot, that we need more people ready to fill those roles. But at Intel, you guys are building on a program to help change this and bridge the gap.


AI can add bias to hiring practices: One company found another way

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TechRepublic's Karen Roby spoke with Jahanzaib Ansari, co-founder and CEO of Knockri, a behavioral skills assessment platform, about unconscious bias in artificial intelligence. The following is an edited transcript of their conversation. Karen Roby: I think what makes this really interesting and why I wanted to talk to you, Jahanzaib, is because your desire to create this company was rooted in your own personal story. Jahanzaib Ansari: I was actually applying to jobs and I wouldn't hear back from employers. I have a long, ethnic name, which is Jahanzaib, and so my co-founder, Maaz, is like, "Why don't you just anglicize it?"


AI is trying to prevent online shoppers from ditching their carts

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TechRepublic's Karen Roby talked with Will Hayes, CEO of Lucidworks, about how artificial intelligence can better help retailers understand customer intent when shopping online. The following is an edited transcript of their conversation. Karen Roby: We all have a tendency, I think, from time-to-time to abandon our carts. We put something in, we take it out, or we just leave it there and we go onto the next site. What typically happens with shoppers, Will?


AI under the sea: Autonomous robot to collect data from new depths

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TechRepublic's Karen Roby spoke with Joe Wolfel, co-CEO of Terradepth, about the company's ocean data-collection robot. The following is an edited transcript of their conversation. Karen Roby: I think this is a good way to summarize that what you guys are doing and are working toward is a fleet of fully autonomous deep ocean data collection submarines. Tell us a little bit about how this came about? I mean, you don't just wake up one day and say, yeah this is what I think I'm going to do.


Machine learning can help keep the global supply chain moving

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TechRepublic's Karen Roby spoke with Noel Calhoun, CTO of Interos, an artificial intelligence supply chain solution, about AI in the supply chain. The following is an edited transcript of their conversation. Karen Roby: Noel, we're going to talk a little bit about AI today in our supply chain. You spent many years in the public and the private sectors, working with the CIA. When we talk about our supply chain, I mean, never before has the light been put on it as much as it is right now.


New app helps prevent skin cancer using AI and ML

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TechRepublic's Karen Roby spoke with Jon Friis, CEO and founder of Miiskin, about how the Miiskin app is helping prevent skin cancer. The following is an edited transcript of their conversation. Karen Roby: We understand how technology can help change things in medicine, such as robots are in the operating room, and we're just seeing all kinds of really innovative things going on. Observing your moles is one of those things on our skin that I would never think technology would play a role in. Tell us before we get to the technology part of this, the augmented reality and machine learning.


AI in the OR: One company is closing the gaps in surgery using technology

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TechRepublic's Karen Roby spoke with Jennifer Fried, CEO of ExlplORer Surgical, about new artificial intelligence tech being used in surgeries. The following is an edited transcript of their conversation. Karen Roby: Talk a little bit about your background and how you moved to tech, and we'll get a little bit further into what you're doing from there. Jennifer Fried: Prior to this, I was working as a healthcare investor doing later-stage venture capital and growth-equity healthcare investing. I met my co-founder Dr. Alex Langerman when he was running a research lab within the department of surgery at University of Chicago Medical Center in 2013 and I just became really engrossed in his research and his vision for building a more digital and connected OR and bringing best practices to life.


Healthcare is adopting AI much faster since the pandemic began

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TechRepublic's Karen Roby spoke with Ira Cohen, chief data scientist at Anodot, a business analytics platform, about the adoption of artificial intelligence (AI) in healthcare. The following is an edited transcript of their conversation. There are even plenty of offices that had never even considered telehealth, but have now been just thrust into that. AI is certainly playing a big role in that. Ira Cohen: I think the pandemic actually was a unique time point.


AI is not yet perfect, but it's on the rise and getting better with computer vision

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TechRepublic's Karen Roby spoke with David Crandall, assistant professor of computer science at Indiana University about artificial intelligence (AI), computer vision, and the effects of the pandemic on higher education. The following is an edited transcript of their conversation. David Crandall: I'm a computer scientist, and I work on the algorithms, the technologies underneath AI. And I work, specifically, in machine learning and computer vision. Computer vision is the area that tries to get cameras that are able to see the world in the way that people do, and that, then, could power a lot of different AI technologies, from robotics to autonomous vehicles, to many other things.