Unlocking the Mysteries of AI: It’s Math, Not Magic!

Article published on: 3rd November 2024

Credit: techxplore.com

In Summary:

Artificial intelligence is increasingly integrated into everyday life, from unlocking phones with facial recognition to crafting tailored online recommendations. However, these AI functionalities are not mystical; they’re based on the mathematical principles of deep learning and neural networks (NNs). NNs emulate human brain function, with artificial neurons processing stimuli and producing responses, guided by calculus-based training to minimize errors. At Florida Tech’s NEural TransmissionS (NETS) Lab, researchers study these networks and have created PEEK, a technique for visualizing how NNs make decisions, which helps in understanding and correcting their errors. This approach proves valuable across sectors, supporting aerospace initiatives, real-time satellite component tracking, and medical applications like real-time blood flow assessments. With interdisciplinary collaborations, the lab’s work is creating safer, more accurate AI solutions for high-stakes environments, from outer space to cardiovascular medicine.

Interesting Fact: The first neural networks in the 1960s were inspired by the human brain's functioning, marking the beginning of AI systems designed to mimic human thought processes, a concept now foundational to AI but originally viewed as groundbreaking and futuristic.

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