Artificial intelligence (AI) is expanding rapidly to the edge. This generalization conceals many more specific advances—many kinds of applications, with different processing and memory requirements, ...

2024 was an AI whirlwind, with the proliferation of GenAI dominating headlines. While churning out synthetic text and imagery with GenAI has garnered all the recent attention, machine learning at the ...

The potential of AI to transform businesses is undeniable. But modern companies now face a new challenge: how to take advantage of this complex concept. This is where the edge can be a catalyst for AI ...

Artificial Intelligence (AI) has revolutionized many industries, enabling applications that seemed unlikely just a few years ago. At the same time, the exponential growth of data and the need for real ...

Edge AI is a form of artificial intelligence that in part runs on local hardware rather than in a central data center or on cloud servers. It’s part of the broader paradigm of edge computing, in which ...

Transition from the cloud to the edge for generative AI. New product challenges for generative AI at the edge. Choosing an edge AI solution that meets these new challenges. When most people think ...

Speed and precision are non-negotiables in manufacturing. From identifying equipment defects and ensuring worker safety to adjusting assembly lines, these jobs require split-second decisions made in ...

How and why edge computing, and now AI at the edge, are becoming so important. What factors can contribute to growing energy consumption. Starting points and idea sources for managing AI energy ...