Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to partly emulate the functioning and structure of biological neural networks. As a ...

When enterprise adoption requires server farms full of energy-hungry GPUs just to run basic AI services, we face both an ...

Smaller, smarter, and radically efficient - bringing brain-inspired intelligence to battery-powered devices, unlocking new era of real-time, ultra-low power AI at edge ...

Open-source clones of ChatGPT can be fine-tuned at scale and with limited or no expertise, facilitating ‘private' language ...

Esther Ugwueke is a biomedical expert and PhD student at the University of Nebraska Medical Center, United States, where she ...

Use of various machine learning algorithms for plant disease classification and the evolution of deep convolutional neural network (CNN) based architectures have further enhanced the plant disease ...

A new technical paper titled “Domain Adaptation for Image Classification of Defects in Semiconductor Manufacturing” was ...

A new technical paper titled “Machine Intelligence on Wireless Edge Networks” was published by researchers at MIT and Duke ...

A research team led by the University of Aberdeen has developed a pioneering AI model to improve accuracy and reduce ...

When evaluating vendor solutions for generative AI, it’s important to understand the core components of the supporting ...

Research has shown that large language models (LLMs) tend to overemphasize information at the beginning and end of a document ...

Andy Konwinski, with help from Google’s Jeff Dean and other AI luminaries, has launched a new institute to help turn ...