AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

Researchers have developed a fully real-valued, end-to-end optical neural network chip that overcomes the physical limitation ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

The 2024 Nobel Prize in Physics has been awarded to scientists John Hopfield and Geoffrey Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural ...

Small and dense but filled with vitally important neural fibers, the brainstem has been hard for brain imaging technologies ...

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...

Neural circuits in the brain are highly sophisticated biological systems, orchestrating ultra-fast, parallel computations ...

The post Musk’s SpaceX Isn’t Building a Phone, but an AI Device Could be on the Horizon appeared first on Android Headlines.

The hunt is on for anything that can surmount AI’s perennial memory wall–even quick models are bogged down by the time and energy needed to carry data between processor and memory. Resistive RAM (RRAM ...

Our brains relish even brief moments of shared experience. Yet, we often overestimate how successfully we communicate in social interactions.