Researchers say neuromorphic systems are reaching a “critical juncture,” with scale being a key metric to track the progress ...

When designing a robot, such as Boston Dynamics' anthropomorphic robot Atlas, which appears exercising and sorting boxes, ...

Neuromorphic computing -- a field that applies principles of neuroscience to computing systems to mimic the brain's function and structure -- needs to scale up if it is to effectively compete with ...

Two new neural network designs promise to make AI models more adaptable and efficient, potentially changing how artificial ...

Reservoir computing (RC) is a powerful machine learning module designed to handle tasks involving time-based or sequential ...

AI applications like ChatGPT are based on artificial neural networks that, in many respects, imitate the nerve cells in our ...

Western researchers have developed a novel technique using math to understand exactly how neural networks make decisions—a ...

The key to its performance is the GB10 Grace Blackwell Superchip, designed in partnership with MediaTek. It also boasts 128GB of RAM and up to a 4TB NVMe SSD. Running Nvidia’s Linux-based DGX OS, it ...

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep ...

Project DIGITS can provide some of that capability ... In AI models, parameter count roughly corresponds to an AI model's neural network size and complexity, with more parameters requiring more ...

The demo included new RTX Neural Materials, RTX Neural Faces, text to animation, and even DLSS 4. “The new generation of DLSS can generate beyond frames, it can predict the future,” says Huang.