engram
PulseAugur coverage of engram — every cluster mentioning engram across labs, papers, and developer communities, ranked by signal.
4 day(s) with sentiment data
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Engram pioneers AI 'memory' by baking knowledge into weights, not just context
AI startup Engram is developing a novel approach to AI memory and continual learning, aiming to embed specialized knowledge directly into model weights rather than relying solely on retrieval-augmented generation (RAG) …
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Engram raises $98M for private-context AI models
Engram has secured $98 million in funding from prominent venture capital firms including General Catalyst, Kleiner Perkins, and Sequoia. The company aims to develop AI models that are trained on a single company's priva…
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New 'User as Engram' method personalizes LLMs with brain-inspired memory edits
Researchers have proposed a new method called "User as Engram" for personalizing language models, drawing inspiration from the human brain's memory systems. Unlike current approaches that store user data externally or u…
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New TN-gram module enhances LLM memory efficiency
Researchers have introduced Tensorized Engram (TN-gram), a novel memory module for large language models designed to improve how they handle multi-token patterns. Unlike previous methods that use separate memory structu…
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Engram Module's Role in Image Generation Questioned in New Research
A new paper investigates the Engram module, a component designed to enhance Transformer layers with associative memory, and its application to autoregressive image generation. The research adapted Engram for vision task…
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Lngram module learns discrete symbols for improved sequence modeling
Researchers have introduced Lngram, a novel module for sequence modeling that operates in latent space. Unlike previous methods that rely on tokenization, Lngram learns discrete symbols directly from hidden states and p…
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New 'Misattribution Gap' Attack Targets AI Memory Layers
A new research paper, "The Misattribution Gap," introduces "Semantic Norm Drift" (SND) as a novel attack vector for agentic AI systems. This attack exploits the memory layer, making it difficult to distinguish from mode…
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DeepSeek's V4 model omits Engram memory module, sparking debate and new research
DeepSeek's latest model, V4, notably omits Engram, a novel memory and efficiency module co-developed with Peking University. Engram, designed to augment Transformers by enabling direct knowledge lookups instead of recal…
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EngramaBench evaluates long-term conversational memory for LLMs
Researchers have introduced EngramaBench, a new benchmark designed to evaluate the long-term conversational memory capabilities of large language models. The benchmark features five distinct personas and one hundred mul…