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

Future OCR table recognition systems will also have adaptive learning capabilities, enabling them to automatically adjust recognition models based on user feedback and changes in ...

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 ...

HCL Chandigarh, a leading institution in chip fabrication, has earlier developed the country’s first 35-bit semiconductor ...

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

This is a general purpose aimbot, which uses a neural network for enemy/target detection. The aimbot doesn't read/write memory from/to the target process. It is essentially a "pixel bot", designed ...

In recent years, there has been a surge of research focused on the application of artificial intelligence (AI) to ...

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 ...