John J. Hopfield and Geoffrey E. Hinton Receive 2024 Nobel Prize in Physics

Date:

The Royal Swedish Academy of Sciences has awarded the 2024 Nobel Prize in Physics to John J. Hopfield, Princeton University, USA, and Geoffrey E. Hinton, University of Toronto, Canada. Both laureates are recognised for their pioneering work in machine learning, specifically using artificial neural networks. Their research, drawing on principles of physics, forms the foundation of modern machine learning systems. Hopfield developed an associative memory system capable of storing and reconstructing data patterns, while Hinton introduced methods that allow networks to autonomously discover data properties and perform tasks such as image recognition.

Artificial Neural Networks and Physics

Artificial neural networks are computational systems modelled on the brain’s neurons. These neurons, represented as nodes, influence each other through connections similar to synapses, adjusting their strength based on training. This year’s laureates have been instrumental in shaping the use of these networks in machine learning since the 1980s. Their contributions laid the groundwork for today’s advanced AI technologies.

John J. Hopfield’s Contribution

John J. Hopfield’s significant contribution was his invention of a network capable of saving and reconstructing patterns. By applying principles from physics, particularly atomic spin, his network is designed to function by minimising energy, much like systems in nature. The network updates its nodes to progressively reveal a stored image when presented with an incomplete or distorted one.

Geoffrey E. Hinton’s Impact

Geoffrey E. Hinton expanded upon Hopfield’s work by developing the Boltzmann machine, a neural network that can identify features in data. Using statistical physics, Hinton’s invention enables the network to learn by analysing common examples, allowing it to recognise and generate patterns. His research has been crucial to the rapid advancement of machine learning. The prize of 11 million Swedish kronor will be equally shared between the laureates

See also  Did Pollen Allergies Cause Woolly Mammoths' Extinction? New Study Proposes a Surprising Theory

 

The Royal Swedish Academy of Sciences has awarded the 2024 Nobel Prize in Physics to John J. Hopfield, Princeton University, USA, and Geoffrey E. Hinton, University of Toronto, Canada. Both laureates are recognised for their pioneering work in machine learning, specifically using artificial neural networks. Their research, drawing on principles of physics, forms the foundation of modern machine learning systems. Hopfield developed an associative memory system capable of storing and reconstructing data patterns, while Hinton introduced methods that allow networks to autonomously discover data properties and perform tasks such as image recognition.

Artificial Neural Networks and Physics

Artificial neural networks are computational systems modelled on the brain’s neurons. These neurons, represented as nodes, influence each other through connections similar to synapses, adjusting their strength based on training. This year’s laureates have been instrumental in shaping the use of these networks in machine learning since the 1980s. Their contributions laid the groundwork for today’s advanced AI technologies.

John J. Hopfield’s Contribution

John J. Hopfield’s significant contribution was his invention of a network capable of saving and reconstructing patterns. By applying principles from physics, particularly atomic spin, his network is designed to function by minimising energy, much like systems in nature. The network updates its nodes to progressively reveal a stored image when presented with an incomplete or distorted one.

Geoffrey E. Hinton’s Impact

Geoffrey E. Hinton expanded upon Hopfield’s work by developing the Boltzmann machine, a neural network that can identify features in data. Using statistical physics, Hinton’s invention enables the network to learn by analysing common examples, allowing it to recognise and generate patterns. His research has been crucial to the rapid advancement of machine learning. The prize of 11 million Swedish kronor will be equally shared between the laureates

See also  Tomb Raider Developer Crystal Dynamics Announces Layoffs

 

 

Share post:

Subscribe

spot_imgspot_img

Popular

More like this
Related

South Carolina prepares for second firing squad execution

A firing squad is set to kill a South...

RRB ALP Recruitment 2025: Apply for 9,970 vacancies from April 12; check selection process and other details here

The RRB ALP Recruitment 2025 application process for 9,970...

‘Gauti (Gautam Gambhir) bhai has helped me understand my potential’

Washington Sundar, a versatile all-rounder, faces the challenge of...

Apple is left without a life raft as Trump’s China trade war intensifies, analysts warn

Apple remains stranded without a life raft, experts say,...