Update reflects IETF discussions and early adopter feedback, with an open-source MT4/5 implementation of verifiable AI decision audit trails VCP v1.1 demonstrates that verifiable AI audit trails are ...

AI systems began a major shift in 2025 from content creators and chatbots to agents capable of using other software tools and ...

The system employs HMAC-SHA256 (Hash-based Message Authentication Code using SHA-256) for license integrity verification. SHA-256 refers to the Secure Hash Algorithm producing 256-bit hash values (see ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Scalable, high performance knowledge graph memory system with semantic retrieval, contextual recall, and temporal awareness. Provides any LLM client that supports the model context protocol (e.g., ...

Framework Computer Delists DDR5 Memory, Citing Threat of RAM Scalping The shortage for RAM is causing Framework Computer to preserve inventory. Meanwhile, Lenovo has been stockpiling its own RAM ...

Facepalm: After consuming virtually the entire GPU market, generative AI and large language models are now putting pressure on DRAM and other mainstream memory products. Consumers are likely to feel ...

A new technical paper titled “Benchmarking of FERAM-Based Memory System by Optimizing Ferroelectric Device Model” was published by researchers at Georgia Tech, imec and National Technical University ...

A new paper published in PLOS One shows that mushrooms can act as the "memristors" required for many next-gen computing applications. Memristors could offer enormous speed boosts over traditional ...

What if the future of artificial intelligence is being held back not by a lack of computational power, but by a far more mundane problem: memory? While AI’s computational capabilities have skyrocketed ...

Edge AI—enabling autonomous vehicles, medical sensors, and industrial monitors to learn from real-world data as it arrives—can now adopt learning models on the fly while keeping energy consumption and ...