A leading large language model displays behaviors that resemble a hallmark of human psychology: cognitive dissonance.

That one innovation — letting AI "pay attention" to all the words at once — transformed everything. It made models smarter, training faster, and scaling much, much bigger. Translation systems suddenly ...

Learn how transformer-based models like Chronos and PatchTST are revolutionizing predictive analytics across industries.

At the Ascend AI Developer Summit on May 26, 2025, Huawei unveiled its new Ascend SuperNode architecture, the foundation of ...

It now appears that neural nets may be the next frontier in the advance of computing technology as a whole. But what are ...

Abstract: Neural networks are a subset of the field of artificial intelligence ... The purpose of this "Lecture Notes" article is twofold: 1) to introduce the fundamental architecture of CNNs and 2) ...

Technology Innovation Institute (TII), the applied research arm of Abu Dhabi’s Advanced Technology Research Council (ATRC), ...

AI has completely transformed how businesses leverage text-based and unstructured data like documents, audio, video, and ...

If you plan to use machine learning for research, consider ChatGPT’s shortcomings and inquire about AI tools’ training data ...

Transformers are a type of neural network architecture that was first developed by Google in its DeepMind laboratories. The ...

Abstract: This paper presents a convolution process and its hardware architecture for energy-efficient deep neural network (DNN) processing. A DNN in general consists of a number of convolutional ...

they’ll master human architecture. Deal flow, operating expertise, strategic advantage—all of it flows downstream from the strength, quality and intentional design of a firm’s network.