Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain ...

Cut confusion and token waste using modular skills in Deep Agent CLI. YAML front matter guides use, then the full skill.md ...

Forests are mystical settings in stories. In real life, those who wander the woods often stumble upon structures, items, and ...

The overwhelming contributor to energy consumption in AI processors is not arithmetic; it’s the movement of data.

DARPA’s TBD2 program aims to track tiny spacecraft across deep space, creating the first wide-area surveillance of the ...

As the number of wireless applications and devices grows, higher standards for the quality of service and navigation performance of mobile networks are required. Numerous critical applications, ...

In the ever-evolving world of artificial intelligence, deep neural networks (DNNs) have revolutionized data processing, offering unparalleled accuracy across various ...

Design and usability guru Dan Formosa returns for another episode of Well Equipped, this time reviewing 5 kitchen gadgets designed to help you deep fry cleaner, quicker, and with better results. But ...

Doug Bonderud is an award-winning writer capable of bridging the gap between complex and conversational across technology, innovation and the human condition. As artificial intelligence becomes ...

This demo shows how to use transformer networks to model the daily prices of stocks in MATLAB®. We will predict the price trends of three individual stocks and use the predicted time series values to ...

1 School of Electronic and Information Engineering, Beijing Jiaotong University, China 2 School of Automation and Intelligence, Beijing Jiaotong University, China Recently, Deep Unfolding Networks ...

Abstract: We investigate the linear precoding for sum-rate maximization in network massive multiple-input multiple-output (MIMO) transmission, where the cooperative transmission by all base stations ...