But their ability to distill complex multi-dimensional systems into something more compact and easier to work with also makes them a promising avenue for compressing large AI models. Multiverse has ...

When bringing the latest AI models to edge devices, it’s tempting to focus only on how efficiently they can perform basic calculations—specifically, “multiply-accumulate” operations, or MACs.

Llama 3.2 brings powerful generative AI capabilities to mobile devices and edge systems by introducing highly optimized, lightweight models ...

These ready-to-use tools are making AI faster, cheaper and more scalable. The rise of AI model zoos—curated collections of pre-built, optimized models—is the key to this transformation.

Across the tech ecosystem, organizations are coalescing around a shared vision: The smarter future of AI lies at the edge.

About Edge Impulse Edge Impulse streamlines the creation of AI and machine learning models for edge hardware, allowing devices to make decisions and offer insight where data is gathered.

Edge computing and AI are revolutionizing utility operations by enabling real-time, autonomous decision-making at the grid ...

This approach allows for flexible architectures where edge devices handle routine tasks, while more complex queries are routed to more powerful models in the cloud.

The emergence of DeepSeek as a transformative force in edge AI development has supply chain operators anticipating a new wave of consumer upgrades across smart devices, from smartphones to AI PCs.

Ceva, Inc., the leading licensor of silicon and software IP that enables Smart Edge devices to connect, sense and infer data more reliably and efficiently, and Edge Impulse, the leading platform ...

Mitsubishi Electric Corporation (TOKYO: 6503) announced today that it has developed a language model tailored for manufacturing processes operating on edge d ...