Recognition memory research encompasses a diverse range of models and decision processes that characterise how individuals differentiate between previously encountered stimuli and novel items. At ...

Recently, Creative Information Technology Co., Ltd. announced that its patent application for "A High-Concurrency Inference Method and System for Large Language Models" has been granted, marking an ...

Low Computational Efficiency: The standard implementation breaks down the attention computation into multiple independent steps (such as matrix multiplication and softmax), each requiring frequent ...

By processing data in or near memory, there is less resulting data that is transmitted to the AI engines, further reducing the power spent moving data.

Explore strategies for optimizing AI memory and context usage to improve model interactions. Learn about the role of RAG in boosting AI model ...

A further boost in performance can come when you also use an in-memory relational database management system. The fastest in-memory database can revolutionize data processing and analytics.

Future CPU applications, such as AI Language Model programming and image processing for 8K UHD video, will require I/O memory access bandwidth in the range of 10 terabytes/sec.

Companies Quadrant offers an in-depth analysis of the global SLM market, spotlighting key players and emerging trends. SLMs, designed with fewer than 2 billion parameters, provide efficient and ...

A new vulnerability dubbed 'LeftoverLocals' affecting graphics processing units from AMD, Apple, Qualcomm, and Imagination Technologies allows retrieving data from the local memory space.