An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Deep learning models, particularly Convolutional Neural Networks (CNN), are the core technologies for current Chinese handwriting recognition. The workflow can be summarized in the following steps: ...

As AI moves into real-time applications—from autonomous vehicles to instant medical diagnostics—the systems processing it can ...

Edge AI hits limits in speed, memory, and security. This M.2 solution can boost AI, protect firmware, and manage power in ...

An Indian-origin neuroscientist Akshay Jagadeesh, trained at Stanford and Harvard, has joined OpenAI as a research resident ...

Axelera AI's Metis M.2 Max is an M.2 module based on an upgraded Metis AI processor unit (AIPU) delivering twice the memory ...

As artificial intelligence technology accelerates its penetration into various industries, Convolutional Neural Networks (CNN ...

The dawn of artificial intelligence (AI) has brought with it a host of boons and banes, one such being the phenomenon of ‘deepfakes’. Deepfakes, using AI technology, manipulate or fabricate visual and ...

Researchers from Hebei University of Technology have developed an innovative approach to lithium-ion battery management that ...

A new study introduces an innovative method to monitor sludge moisture content in real-time, combining jet imaging and deep learning to transform ...

A new study introduces an innovative method to monitor sludge moisture content in real-time, combining jet imaging and deep ...

A self-powered kirigami cube sensor detects force direction and pressure through one signal channel, enabling compact and ...