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Enhanced Triplet Photon Generation

Published:Dec 30, 2025 07:52
1 min read
ArXiv

Analysis

This paper presents a significant advancement in the generation of entangled photon triplets, crucial for quantum technologies. The authors achieve a substantial improvement in the efficiency of generating these triplets by integrating two down-converters on a lithium niobate waveguide. This enhancement opens possibilities for faster and more efficient quantum communication and computation.
Reference

The cascaded process efficiency is enhanced to $237 \pm 36$ kHz/mW.

Technology#AI Hardware📝 BlogAnalyzed: Dec 29, 2025 01:43

Self-hosting LLM on Multi-CPU and System RAM

Published:Dec 28, 2025 22:34
1 min read
r/LocalLLaMA

Analysis

The Reddit post discusses the feasibility of self-hosting large language models (LLMs) on a server with multiple CPUs and a significant amount of system RAM. The author is considering using a dual-socket Supermicro board with Xeon 2690 v3 processors and a large amount of 2133 MHz RAM. The primary question revolves around whether 256GB of RAM would be sufficient to run large open-source models at a meaningful speed. The post also seeks insights into expected performance and the potential for running specific models like Qwen3:235b. The discussion highlights the growing interest in running LLMs locally and the hardware considerations involved.
Reference

I was thinking about buying a bunch more sys ram to it and self host larger LLMs, maybe in the future I could run some good models on it.

Analysis

This paper is important because it provides concrete architectural insights for designing energy-efficient LLM accelerators. It highlights the trade-offs between SRAM size, operating frequency, and energy consumption in the context of LLM inference, particularly focusing on the prefill and decode phases. The findings are crucial for datacenter design, aiming to minimize energy overhead.
Reference

Optimal hardware configuration: high operating frequencies (1200MHz-1400MHz) and a small local buffer size of 32KB to 64KB achieves the best energy-delay product.

Research#Metamaterial🔬 ResearchAnalyzed: Jan 10, 2026 08:01

Novel Ultrasonic Metamaterial Fabricated with Microstructured Glass

Published:Dec 23, 2025 16:56
1 min read
ArXiv

Analysis

This research explores a new avenue in ultrasonic metamaterials by utilizing microstructured glass, potentially opening doors for advanced acoustic manipulation. The paper's contribution lies in its experimental validation at MHz frequencies, which is an important development for various applications.
Reference

Ultrasonic metamaterials are fabricated using microstructured glass.