These top 10 edge AI chips are designed to accelerate artificial-intelligence workloads without being power-hungry.

In addition, while Nvidia has a comprehensive software ecosystem named CUDA, this is more focused on training utilizing ...

Just as GPUs once eclipsed CPUs for AI workloads, Neural Processing Units (NPUs) are set to challenge GPUs by delivering even ...

Despite ongoing macroeconomic uncertainties, ADI is expected to thrive due to its proactiveness in the AI space.

The rising complexity of computing and processing requires faster devices such as field-programmable gate arrays (FPGAs) and other processing chips. Complicated processes demand higher power ...

When OpenAI released ChatGPT in 2022, companies started spending billions on GPUs to train AI models. Nvidia led the market ...

In the ever-evolving world of smartphone photography, Samsung and Apple have consistently pushed the boundaries of what's ...

At an event in New York City on Thursday, Microsoft unveiled two additions to the Surface line of PCs. The new Surface Pro and Surface Laptop both arrive ...

Akida’s small form factor provides magnitudes less power consumption than a GPU, overcoming form factor and power limitations ...

In this rapidly growing digital era Athul Ramkumar, a researcher from a leading US university, has published groundbreaking ...

KAIST (President Kwang Hyung Lee) announced on the 17th of January that the joint research team of Professor Shinhyun Choi and Professor Young-Gyu Yoon of the School of Electrical Engineering has ...