Researchers build fleeting memory transformers with human-like memory decay, proving memory limits help AI learn grammar ...

Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three ...

Abstract: Deep learning (DL) model training must address the memory bottleneck to continue scaling. Processing-in-memory approaches can be a viable solution as they move computations near or into the ...

Open-source OCR from Baidu eliminates the GPU memory wall that limits long-document parsing. Unlimited OCR uses a constant KV ...

NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — ...

The ‘doorway effect’ suggests that when information is removed from working memory, it immediately seems to leave ...

Memory stocks are surging as AI fuels HBM/DRAM/NAND shortages and pricing power at Micron, Samsung, SK Hynix. Click for more.

Chipmaking stocks were down across the board on Wednesday, though they rebounded a bit in early trading Thursday. But ...

Industry discussions about what’s holding back AI often focus on security, graphics processing unit availability and other ...

Proton has released Lumo 2.0, bringing major upgrades to its AI assistant with a new architecture and several new ...

MIT's DAAAM research gives robots a memory of what it seen, letting it build a detailed map of a space with descriptions that ...