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10 articles
Micron Technology has broken ground on a $9.3 billion expansion of its Hiroshima factory to meet rising AI memory demand. The project focuses on high-bandwidth memory production, a critical component for AI systems.
This article explains how high-bandwidth memory (HBM) technology is driving demand in the AI industry, enabling faster data processing for large language models and other AI workloads. It explores the technical architecture of HBM and its impact on semiconductor companies like Micron.
OpenAI's ChatGPT memory upgrade shows promise but raises concerns about outdated information, personal profiling, and accuracy issues that could subtly distort responses.
SK Hynix is preparing for a potential US listing valued at up to $14 billion, leveraging the surge in demand for memory chips driven by AI technologies.
Nvidia has partnered with SK Hynix to develop next-generation memory chips for AI accelerators, addressing the industry's critical memory bottleneck.
OpenAI introduces a new memory system for ChatGPT that enhances the AI's ability to remember user preferences and maintain contextual relevance across conversations.
This article explains OpenAI's new Dreaming memory system that builds coherent user profiles from conversations, improving information retention from 52.2% to 75.1%.
This article explains the AI memory crunch—a critical bottleneck in the AI ecosystem where the demand for high-performance memory exceeds supply, threatening companies like GoPro that rely on AI-enhanced products.
Learn how AI agents can remember past conversations and use that information to give more personalized responses. Discover how tools like Mem0, OpenAI, and ChromaDB help build long-term memory for AI.
Google is rolling out new 'Import Memory' and 'Import Chat History' features in Gemini, allowing users to easily transfer AI conversation data between platforms. This move follows similar functionality from Anthropic's Claude and reflects growing industry trends toward AI portability.
