Nvidia isn’t building quantum computers, instead it’s using its supercomputing strengths to accelerate quantum computing ...

Hardware fragmentation remains a persistent bottleneck for deep learning engineers seeking consistent performance.

Dubbed the "Nvidia killer," Cerebras' wafer-scale engine has reportedly crushed Nvidia's H200 in raw AI training power: 125 ...

The startup behind open source tool PyTorch Lightning has merged with compute provider Voltage Park to create a “full stack ...

Image courtesy by QUE.com The global landscape of artificial intelligence (AI) is expanding at an unprecedented rate. For ...

Features: High-performance computing is helping Space agencies and universities compress simulation cycles, train AI models faster, and enable more autonomous missions.

Eight years after the first mobile NPUs, fragmented tooling and vendor lock-in raise a bigger question: are dedicated AI ...

Image courtesy by QUE.com In the world of artificial intelligence (AI), hardware advancements are often pivotal for ...

The idea of these so-called perception-driven systems is to interpret raw sensor data and convert it into actionable understanding. So, they capture the images as traditional machine vision would, but ...

The rise of AI has given us an entirely new vocabulary. Here's a list of the top AI terms you need to learn, in alphabetical ...

Sid Pardeshi, a former Nvidia engineer-turned founder, said Jensen Huang inspired him to launch an AI company, and taught him ...

China Telecom has developed the country’s first artificial intelligence models with the innovative Mixture-of-Experts (MoE) ...