Evolving challenges and strategies in AI/ML model deployment and hardware optimization have a big impact on NPU architectures ...

Understanding GPU memory requirements is essential for AI workloads, as VRAM capacity--not processing power--determines which models you can run, with total memory needs typically exceeding model size ...

Waldorf synthesizers have a good reputation for their sound. The Protein establishes a new device class at a smaller price.

Here are our picks for the top 10 edge AI chips with a bright future across applications from vision processing to handling multimodal LLMs.

A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...

Big AI models break when the cloud goes down; small, specialized agents keep working locally, protecting data, reducing costs ...

PPA constraints need to be paired with real workloads, but they also need to be flexible to account for future changes.

Discover the game-changing potential of local AI in 2026.

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The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

Smaller models, lightweight frameworks, specialized hardware, and other innovations are bringing AI out of the cloud and into ...

Clay Halton was a Business Editor at Investopedia and has been working in the finance publishing field for more than five years. He also writes and edits personal finance content, with a focus on ...