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

Abstract: As research progresses, an increasing number of deep neural networks (DNNs) are applied to the multiple-input multiple-output (MIMO) detectors. This letter presents a simplified realization ...

TL;DR: KIOXIA's open-source AiSAQ technology reduces DRAM needs by offloading vectorized AI data to SSDs, enabling scalable, low-latency Retrieval Augmented Generation (RAG) pipelines. Its integration ...

It turns out the rapid growth of AI has a massive downside: namely, spiraling power consumption, strained infrastructure and runaway environmental damage. It’s clear the status quo won’t cut it ...

This is a feature request to add a new 8-bit quantization method called Product Quantization with Residuals (PQ-R) to the bitsandbytes library. What is PQ-R? PQ-R is a hybrid quantization algorithm ...

Forbes contributors publish independent expert analyses and insights. Julia Korn writes about leadership and career development. Female Inventory Manager Shows Digital Tablet Information to a Worker ...

The concept involves a company trying to parlay feel-good associations with one of its products into a positive reputation for the overall brand. By Lora Kelley If you have a good experience with one ...

The key difference between the sprint backlog and the product backlog is that the sprint backlog represents the work developers expect to complete in the next few weeks, while the product backlog ...

KIOXIA is updating its AiSAQ (All-in-Storage ANNS with Product Quantization) software to improve the usability of AI vector database searches within retrieval-augmented generation (RAG) systems by ...

TL;DR: KIOXIA AiSAQ is an open-source software enabling fast, scalable approximate nearest neighbor search for large AI RAG systems using high-speed SSDs instead of costly DRAM. The latest update ...