30 results for "memory"
Parameter Efficiency Is Not Memory Efficiency: Rethinking Fine-Tuning for On-Device LLM Adaptation
Parameter-Efficient Fine-Tuning (PEFT) has become the standard for adapting large language models (LLMs). In this work we challenge the wide-spread assumption that parameter efficiency equates memory …
Micron and Sandisk continue rally as demand for memory expected to persist
Shares of Micron and Sandisk jumped after Melius Research said in a report that demand for memory will remain strong through the end of the decade.…
Ex-NFL GM: Rams drafting Ty Simpson is 'one of the greatest decisions' in recent memory
Ex-NFL GM Mike Tannenbaum is a huge fan of the Rams picking Ty Simpson, saying it's one of the best moves in recent memory.…
Xbox boss Asha Sharma hints memory costs "will impact" pricing and availability of next-gen Project Helix console
Xbox boss Asha Sharma is carefully examining the memory crisis situation as the brand makes plans for Project Helix's launch in the future.…
HeLa-Mem: Hebbian Learning and Associative Memory for LLM Agents
Long-term memory is a critical challenge for Large Language Model agents, as fixed context windows cannot preserve coherence across extended interactions. Existing memory systems represent conversatio…
ZenBrain: A Neuroscience-Inspired 7-Layer Memory Architecture for Autonomous AI Systems
Despite a century of empirical memory research, existing AI agent memory systems rely on system-engineering metaphors (virtual-memory paging, flat LLM storage, Zettelkasten notes), none integrating pr…
Comparison of upcoming x86 unified memory systems
AMD Gorgon halo summer this year. 15% faster memory clock speeds / bandwidth, than strix halo . Intel nova lake ax expected early next year. 2027 summer: AMD Medusa Halo , 50% performance improvement …
Show HN: AI memory with biological decay (52% recall)
Most RAG setups fail because they treat memory like a static filing cabinet. When every transient bug fix or abandoned rule is stored forever, the context window eventually chokes on noise, spiking to…
Is it good to use big files for project memory?
Hi guys, I’m a gpt user slowly approaching to Claude and wondering few things. Using projects for long creative tasks (stories, book writing, and so on), I use some big pdf as memory for the project. …
AI Sandboxes with Memory
AI frenzy signals end of boom and bust for memory chipmakers
Mnemostroma v1.11: Automatic Memory Layer for Local AI Agents
Strong Memory Demand Amid Improving Pricing Drives BofA’s Bullish Rating on Western Digital (WDC)
Why Is Micron Technology (MU) The Best Memory Stock To Buy According To Analysts?
Is Lam Research (LRCX) One Of The best memory stocks To Buy According To Analysts?
Majestic Labs Announces Prometheus: The First AI Server Purpose-Built to Break the Memory Wall - Morningstar
Comprehensive up-to-date news coverage, aggregated from sources all over the world by Google News.…
This New ETF Invests in the Top Memory Stocks. Is It a No-Brainer Buy for Artificial Intelligence (AI) Investors?
DA Davidson Initiates Micron at Buy With a $1,000 Price Target: Is This the Most Bullish Memory Call of 2026?
Chip Startup Aims to Shatter AI's Dreaded Memory Wall
PostgreSQL and the OOM Killer: Why We Use Strict Memory Overcommit
This Hot Memory Stock Is Tumbling After Earnings. Why It Could Be an Opportunity.
Show HN: Face Lift, a memory game about faces
[Fedora 44 / Wayland] Memory leaks with Explicit Sync & Open Modules on RTX 5080
NARE: An LLM agent that amortizes reasoning into memory and executable rules
Contribute to starface77/Neuro-Adaptive-Reasoning-Engine development by creating an account on GitHub.…
Vendor slaps extra 'memory fee' on each tech purchase amid global chip crunch — the more you buy, the more you pay
Let the AI Hunger Games begin…
Muscle Memory Kicks in as Photographers React to Violence at White House Correspondents’ Dinner
It was supposed to be a pleasant evening.…
A container with 32 millicores sometimes finished builds faster than a 4-core Jenkins server. That felt wrong. Digging into why led to a bigger question — CPU scheduling got dramatically smarter over a decade. Why does memory still behave like it's 2015?
Samsung phone division could post its first ever loss as AI drives memory costs higher
Samsung workers threaten strike, demand share of $38 billion AI memory windfall
[Qwen3.6 35b a3b] Used the top config for my setup 8gb vram and 32gb ram, and found that somehow the Q4_K_XL model from Unsloth runs just slightly faster and used less tokens for output compared to Q4_K_M despite more memory usage
Config CtxSize: 131,072 GpuLayers: 99 CpuMoeLayers: 38 Threads: 16 BatchSize/UBatchSize: 4096/4096 CacheType K/V: q8_0 Tool Context: file mode (tools.kilocode.official.md) Metric M Model XL Model Diff…