Sophisticated AI models tend to require a lot of memory and take up a lot of storage space. One of the ways to reduce that ...

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You can now download Gemma 4 models with quantization-aware training to reduce the amount of mobile memory required to 1GB.

Abstract: Modern datasets often exhibit heavy-tailed behavior, while quantization is inevitable in digital signal processing and many machine learning problems. This paper studies the quantization of ...

Abstract: This paper considers the observer-based event-triggered output control problem with quantization. Both plant-to-controller (measured output) channel and controller-to-plant (control input) ...

SEOUL, South Korea, June 11, 2026 /PRNewswire/ -- Nota AI, a company specializing in AI model compression and optimization, announced that two of its papers on MoE-specific quantization algorithms ...

This article has been edited and created by AI. Running Qwen 3.6 27B with 131k context on Dual R9700s, the practicality of AutoRound quantization, and llama.cpp NUMA optimization — Breaking through ...

Alex Gudilko is CEO of AJProTech, an award-winning AI hardware product development studio based in Los Angeles, California.

Curious about the working of an on-device AI? Here is how an on-device AI works and what you can take from it for yourself.

Introduces a low-rank-based approach to KV cache compression, one of the key bottlenecks in long-context AISpeeds up attention computation by up to 6.9x and overall generation throughput by up to 3.1x ...