Imagine a world where logistics operate flawlessly, with packages zipping through warehouses and onto delivery trucks without a hitch. But the reality is often far from this ideal, with errors, delays, and rising costs plaguing the industry. What if AI could step in and solve these problems? Kioxia Corporation, in collaboration with Tsubakimoto Chain Co. and EAGLYS Inc., is tackling this challenge head-on with a groundbreaking AI-driven image recognition technology designed to revolutionize logistics processes.
This innovative system leverages Kioxia's AiSAQ™ and Memory-Centric AI technologies to automatically identify products as they move through the logistics workflow. The goal? To dramatically improve automation and efficiency, enabling companies to adapt swiftly to ever-changing market demands while keeping costs down and service quality high. In essence, it's about making the entire logistics process smarter, faster, and more reliable.
But here's where it gets controversial... Traditional AI image recognition systems rely on deep learning models that need constant retraining whenever new products are introduced. Think about seasonal items, limited-edition releases, or simply the addition of new product lines. Each time, the AI has to be retrained, a process that consumes significant time, energy, and resources. This is especially problematic for companies with extensive product catalogs. Some argue that the cost of retraining outweighs the benefits of AI in these scenarios. Is that really true?
Kioxia's approach offers a compelling alternative. The KIOXIA AiSAQ software, in conjunction with Memory-Centric AI, addresses this challenge by storing vast amounts of product data – images, labels, and feature information – in high-capacity memory. This means that new product information can be added quickly and easily, without the need to retrain the core AI model. Think of it like adding a new book to a library instead of rewriting the entire library to include that book. This drastically reduces the time and resources required to keep the AI system up-to-date.
And this is the part most people miss... As the amount of stored data grows, search times and memory requirements can increase. To combat this, Kioxia's technology intelligently indexes the memory-stored data and moves the indexed information to SSD storage. This clever optimization ensures fast and efficient retrieval of product information, even with a massive database. It's like having a super-efficient librarian who can quickly find any book in a huge library.
The power of this collaboration will be on full display at the 2025 International Robot Exhibition, taking place December 3–6 at Tokyo Big Sight. Visitors to the Tsubakimoto Chain Booth E6-23 will witness the jointly developed image recognition system in action. Picture this: products moving along a conveyor belt, with the system capturing their images and rapidly classifying them by referencing the stored features and labels. This live demonstration will showcase how logistics sites can manage a constantly evolving range of products with unparalleled accuracy and efficiency.
For those eager to explore the technology further, KIOXIA AiSAQ open-source software is available for download at: https://github.com/kioxia-jp/aisaq-diskann
Notes:
- KIOXIA AiSAQ Technology Designed to Reduce DRAM Requirements in Generative AI Systems Released as Open Source Software: https://www.kioxia.com/en-jp/business/news/2025/20250128-1.html
- Development of Image Classification System Deploying Memory-Centric AI with High-capacity Storage: https://www.kioxia.com/en-jp/rd/technology/topics/topics-39.html
KIOXIA AiSAQ is a trademark of KIOXIA. All other company names, product names, and service names may be trademarks of third-party companies.
About Kioxia:
Kioxia is a global leader in memory solutions, committed to the development, production, and sale of flash memory and solid-state drives (SSDs). Spun off from Toshiba Corporation in April 2017, the company carries on the legacy of inventing NAND flash memory in 1987. Kioxia's mission is to enrich the world with "memory," offering products, services, and systems that empower customers and create memory-based value for society. Their innovative 3D flash memory technology, BiCS FLASH™, is driving the future of storage in high-density applications, including advanced smartphones, PCs, automotive systems, data centers, and generative AI systems.
*Information in this document, including product prices and specifications, content of services, and contact information, is accurate as of the announcement date and is subject to change without notice.
What are your thoughts on this approach? Do you believe that memory-centric AI is the key to unlocking the full potential of AI in logistics, or are there other factors that need to be considered? Share your opinions and insights in the comments below!
