The 2024 Nobel Prize in Physics: Unlocking Intelligence

Sujatha Ratnala
2 min readOct 9, 2024

I was reading the summary 2024 Nobel Prize in Physics, that celebrates Hopfield and Hinton’s innovative work on artificial neural networks, that has paved way for the AI of today. Though there has been some arguments that there is no fundamental physics breakthrough, it was built upon inspirations such as magnetism, thermodynamics and biological intelligences.

I had some thoughts cross my mind.

The butterfly effect, where tiny wing flaps reshape distant landscapes. Tossing iron powder near a magnet, forms a fleeting, intricate pattern in mid-air, as it self organises. Tossing a stone in a pond causes emergent ripple of waves.

Humans have been inspired by marvels around. And science, mathematics, and statistical modeling has been that tool to observe, mimic and deep dive into the these unseen worlds, and emerge with complex architectures. ‘How you do anything is how you do everything.’ An intelligent, scalable, self learning architecture, encompassing learning at every step.

Meet the talented AI Sculptor — As it refines its clay statue through touch and feedback, it discovers contours and properties through initial explorations. It reinforces learning, refining understanding with each iteration, and adapts its future moves based on accumulated knowledge and error correction.

Embracing the complexities of physics and biology, Hopfield and Hinton’s neural network architecture consists of interconnected layers, each with memory, and recurrent connections. Backpropagation enables learning through error adjustment and weight optimization. This scalable design unlocks deep learning and pattern recognition capabilities.

Scientists have now modeled intelligence of a fruitfly. We are marching in an era of Interconnectedness and AI, and time shall reveal the possibilities.

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Sujatha Ratnala
Sujatha Ratnala

Written by Sujatha Ratnala

I write.. I weave.. I walk.. कवयामि.. वयामि.. यामि.. Musings on Patterns, Science, Linguistics, Sanskrit et al..