As artificial intelligence continues to grow, it’s crucial to understand the basics of how it works. We’ve heard the term “computer algorithms,” but it may be difficult to truly conceptualize it. Keep reading for an overview of algorithms, or click here to watch the video version.
With the evolution of technology and artificial intelligence, it may seem daunting to grasp these complex topics. We know that computers have learning capabilities that help them become stronger and more agile, but what does that mean? How do computers learn?
Sometimes (even very smart) people get carried away with the idea of AI being an existential threat. I believe those fears are overblown. As artificial intelligence evolves, there are plenty of opportunities for AI to enhance and optimize the work we do—without threatening our livelihoods. However, there are risks inherent in how we use AI. These risks are more mundane than sci-fi horror stories, but they’re real for businesses and consumers.
As soon as you hear the words “artificial intelligence” or “machine learning” your imagination might run wild. Can intelligent machines make decisions on their own? Can they magically solve business problems? What happens when machines start doing or saying things that we can’t predict?
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