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The future of Artificial Intelligence (AI) depends on many factors. Advancements in computing power and the implementation of regulations are just two external influences that could significantly impact what AI will be able to do in the years to come. Before we get to the exciting future uses, however, it’s important to understand exactly where we are today. And that’s not as clear as it should be.
Most Video Content Analytics (VCA) developed to-date have been based on traditional, algorithmic, Machine Learning techniques. Deep Learning is a more advanced evolution of machine learning, using sophisticated, artificial neural networks.
It’s helpful to reflect on where we are now versus where we are going. Today, there is still more discussion about what might be possible than actual physical products on the market. Much of the conversation centers on practical ways to utilize deep learning and neural networks and how these techniques can improve analytics and significantly reduce false-positives for important events.
From navigational software to advanced analytics, artificial intelligence-based technology is being used in many capacities for security, and as this smarter technology becomes more mainstream, its use will only grow. We've seen AI usage in diagnostic applications within the healthcare industry and in the emergence of self-driving cars, and with the growth experienced in these areas, it’s become hard to avoid AI’s massive implications around the world.