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memory

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TS-Memory: A Plug-and-Play Memory Adapter for Time Series Foundation Models Technology
Artificial Intelligence #ts-memory#memory

TS-Memory: A Plug-and-Play Memory Adapter for Time Series Foundation Models

TS-Memory, a lightweight memory adapter proposed by researchers, addresses distribution shift in time series foundation models. It uses Parametric Memory Distillation to combine the benefits of parametric adaptation and non-parametric retrieval without their drawbacks, achieving consistent forecasting improvements with minimal overhead.

Jun 16, 2026 1 source
Decision-Aware Memory Cards: Counterfactual-Inspired Context Selection for Tool-Using LLM Agents Technology
Artificial Intelligence #llms#artificial intelligence

Decision-Aware Memory Cards: Counterfactual-Inspired Context Selection for Tool-Using LLM Agents

A new framework called the Counterfactual-Inspired Context Layer (CICL) helps LLM agents select and compress context based on decision relevance rather than semantic similarity. In tests on 50 SWE-bench Verified instances, CICL improved hit@1 from 0.58 to 0.78 and saved 44.93 tokens per query through memory cards.

Jun 16, 2026 1 source
User as Code: Executable Memory Paradigm Boosts AI Agent Personalization with Deterministic Execution Technology
Artificial Intelligence #user as code#executable memory

User as Code: Executable Memory Paradigm Boosts AI Agent Personalization with Deterministic Execution

A new arXiv preprint introduces User as Code (UaC), a paradigm where AI agent user memory is stored as executable Python code rather than unstructured text. On benchmarks, UaC achieves 78.8% recall on LOCOMO and 99% accuracy on aggregate questions, while enabling unsolicited safety alerts that retrieval-based systems cannot provide.

Jun 16, 2026 1 source
E-mem: Multi-Agent Framework for Episodic Memory Reconstruction Boosts LLM Reasoning Efficiency by 70% Technology
Artificial Intelligence #memory#optimization

E-mem: Multi-Agent Framework for Episodic Memory Reconstruction Boosts LLM Reasoning Efficiency by 70%

Researchers propose E-mem, a multi-agent framework that reconstructs episodic context for LLM agent memory, inspired by biological engrams. It uses a hierarchical architecture with assistant agents maintaining uncompressed contexts and a master agent orchestrating planning, achieving 54% F1 on the LoCoMo benchmark, surpassing the state-of-the-art GAM by 7.75% with over 70% token cost reduction.

Jun 16, 2026 2 sources
Old Nvidia GPUs Resurrected, SK Hynix Plans to Triple Memory Production by 2034 Technology
Hardware #gpu#memory

Old Nvidia GPUs Resurrected, SK Hynix Plans to Triple Memory Production by 2034

Old Nvidia RTX 3060 and 3050 GPUs are being resurrected by graphics card maker Manli in Asia as budget alternatives amid rising current-gen GPU prices. Meanwhile, SK Hynix chairman Chey Tae-won revealed plans to double wafer capacity by 2031 and triple it by around 2034, accelerating from a previous 20-year timeline to meet surging memory demand driven by AI.

Jun 12, 2026 1 source
Smartphone Brands Adjust Features Amid Rising Memory Costs Manufacturing
Consumer Electronics #smartphones#memory

Smartphone Brands Adjust Features Amid Rising Memory Costs

Smartphone manufacturers are adjusting features to cope with an 8-12% surge in memory costs. Brands like Xiaomi, Oppo, and Apple are compromising on display and audio quality to maintain price stability.

Jun 4, 2026 1 source