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.

Small Language Models (SLMs) bring AI inference to the edge without overwhelming the resource-constrained devices. In this article, author Suruchi Shah dives into how SLMs can be used in edge ...

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.

The global artificial intelligence (AI) market is expanding at a staggering pace. In 2024, it was valued at $257.68 billion, ...

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

Additionally, BrainChip is working on quantizing the model to 4 bits, so that it will efficiently run on edge device hardware.

Geniatech's M.2 AI accelerator module, powered by Kinara's Ara-2 NPU, delivers 40 TOPS INT8 compute performance at low power ...

By distilling DeepSeek-R1 into smaller versions, developers can leverage state-of-the-art AI performance on edge devices without requiring expensive hardware or cloud connectivity. Why this matters ...

Edge AI is no longer just a back-end upgrade; it is becoming the core enabler of intelligent, personal technology experiences ...

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

Meta Platforms Inc. is striving to make its popular open-source large language models more accessible with the release of “quantized” versions of the Llama 3.2 1B and Llama 3B models, designed ...