Google Research has unveiled Titans, a neural architecture using test-time training to actively memorize data, achieving effective recall at 2 million tokens.

Abstract: Low-bit-width data formats offer a promising solution for enhancing the energy efficiency of Deep Neural Network (DNN) training accelerators. In this work, we introduce a novel 5.3-bit data ...

Researchers are edging closer to experiments that claim to supply artificial intelligence with a missing ingredient for ...

Choosing the right blueprint can accelerate learning in visual AI systems. Artificial intelligence systems built with biologically inspired structures can produce activity patterns similar to those ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), is a leading global Hologram Augmented Reality ("AR") Technology provider. On the basis of in-depth research on quantum convolutional ...

In this architecture, the training process adopts a joint optimization mechanism based on classical cross-entropy loss. WiMi treats the measurement probability distribution output by the quantum ...

Chaos, published by AIP Publishing, is pleased to announce the recipients of the 2024 Edward N. Lorenz Early Career Award, honoring outstanding early-career researchers whose work has made a ...

Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...

Abstract: Deep learning has significantly propelled the development of photometric stereo by handling the challenges posed by unknown reflectance and global illumination effects. However, how ...

If you are curious and want to learn how does AI work, well, follow our detailed explainer on Artificial Intelligence's ...

Want to learn who created AI and the real minds behind modern AI chatbots? Explore the fascinating history of AI development.