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 ...

Abstract: This paper presents an efficient reconfigurable parameterized convolutional neural network (CNN) accelerator designed for FPGA platforms. The core of the accelerator allows flexible ...

Abstract: In this letter, we propose an efficient hybrid model, named HMC-ViT, that combines a convolutional neural network (CNN) with a multi-class token vision transformer (ViT) to address the ...

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 ...