As AI agents move into production, teams are rethinking memory. Mastra’s open-source observational memory shows how stable context can outperform RAG while cutting token costs.

That helpful “Summarize with AI” button? It might be secretly manipulating what your AI recommends. Microsoft security researchers have discovered a growing trend of AI memory poisoning attacks used ...

Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By ...

In a world where milliseconds define success, in-memory computing helps ensure that technology keeps pace with human ...

GridGain donated the original Ignite code to The Apache Software Foundation (ASF) in 2014. GridGain is a Bronze Sponsor of the ASF, with several members of the GridGain team serving as active ...

Complementing the M8a and C8a launches, R8a memory-optimized instances target high-performance, memory-intensive workloads.

Using the Gemma-3 12B vision-language model on GSI’s production Gemini-II processor, GSI achieved the 3-second TTFT while consuming approximately 30 watts at the AI sub-system, including the chip. To ...

A severe vulnerability affecting multiple MongoDB versions, dubbed MongoBleed (CVE-2025-14847), is being actively exploited in the wild, with over 80,000 potentially vulnerable servers exposed on the ...

1 Laboratory of Studies and Tests in Civil Engineering (L2EGC), National University of Sciences, Technologies, Engineering and Mathematics, Abomey, Benin. 2 Laboratory of Applied Energetic and ...

If we want to avoid making AI agents a huge new attack surface, we’ve got to treat agent memory the way we treat databases: with firewalls, audits, and access privileges. The pace at which large ...

Modern computer systems are fast—until they are not. The memory channel bandwidth between DRAM and the CPU has been far behind the CPU performance for more than three decades, and the gap between ...