Blaise Agüera y Arcus argues that prediction is the fundamental principle behind intelligence and “may be the whole story”.

The use of energy by artificial intelligence technology is rapidly increasing. Massive data centers performing the intense computation needed for training large models are consuming huge amounts of ...

A new study has demonstrated how networks of spiking nanolasers could emulate a key principle of brain function: to imagine ...

No gradients. No GPUs. Discover how Hamiltonian neural networks use logic and low-precision computing to challenge deep learning’s dominance.

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, training on databases, and special computer chips.

Geoffrey Hinton earned the title “Godfather of AI” for inventing the foundations of modern deep learning — here’s why his warnings about AI’s future matter now.

The proposed algorithm applies the concept of forward-forward network to CNNs, avoiding away traditional back-propagation and its limitations SEOUL, South Korea, Oct. 16, 2025 /PRNewswire/ -- Deep ...

Abstract: Deep learning’s growing computational demands have led to considerable energy consumption and carbon emissions. In this paper, we explore on-device learning with sparse backpropagation as a ...

Aims: Population Health Management (PHM), through strategic integration of the Human Phenotype Ontology (HPO), emphasises the responsible use of digital infrastructure and comprehensive genomic data ...