Communication-system designers have always had to deal with trade-offs among data reliability, efficient use of available spectrum, data throughput, and cost. Error-correction coding (ECC) is one of ...

Ava Hauck, a junior at Dickinson High, built an AI diagnostic device to detect hematological diseases for a science fair. Now ...

Ava Hauck, a junior at Dickinson High School, created an AI diagnostic device to detect hematological diseases for a science ...

GPUs, born to push pixels, evolved into the engine of the deep learning revolution and now sit at the center of the AI ...

Memory swizzling is the quiet tax that every hierarchical-memory accelerator pays. It is fundamental to how GPUs, TPUs, NPUs, ...

For Gabriel Petersson, the path to becoming a research scientist at OpenAI didn’t start in a lecture hall but began with a ...

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

Using the AI, a young scientist Mohan Vamsi Nallapareddy and his team developed an AI tool, which can predict protein-production failures at the molecular level and such predictions could ...

Abstract: This paper proposes an image restoration method using a convolutional sparse coding (CSC) unrolling network with a box constraint and total variation. Unlike conventional deep unrolling ...

While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to ...