9 Hours, 199 Rounds, Zero Errors: Three Local NemoClaw AI Agents Migrated COBOL to Python Using Only Persistent Memory
cronos3k
• • 1NEW Articles from Team or Enterprise organizations will get promoted to the main section.
Constellation Relay, Geometric Bottleneck, and the Re-Emergence of the Potential 0.29154 Binding Constant
AbstractPhil
• RAG (vs) Fine-Tuning + continual learning
Fourwheels2512
• Nemotron 3 Nano 4B: A Compact Hybrid Model for Efficient Local AI
nvidia
• • 69Surface Orders, Cyclic Time, and a Concrete Hilbert–Pólya Framework
AmelieSchreiber
• • 1Distribution Matching Prevents Mode Collapse in Training Reasoning Models
germank
• • 2**LoRA Fine-Tuning BitNet b1.58 LLMs on Heterogeneous Edge GPUs via QVAC Fabric**
qvac
• • 19VoxCeleb Dataset: Real-World Speech for Speaker Recognition
norwooodsystems
• The First Healthcare Robotics Dataset and Foundational Physical AI Models for Healthcare Robotics
nvidia
• • 33**Canada Must Not Turn AI Chatbots Into a New Surveillance Frontier**
Clock070303
• • 3Expanding the Alpamayo Open Platform for Developing Reasoning AVs Across Models, Data, and Simulation
drmapavone
• • 32NanoVDR: A 70M Text-Only Model That Retrieves Visual Documents as Well as a 2B VLM
Ryenhails
• • 3Procrustes ViT Shared Manifold Alignment Experimentation
AbstractPhil
• Signal to Noise in Language Models: The Single Voice Upgrade ML Needs
juiceb0xc0de
• The Voice Agent Latency Playbook: Instrument, Diagnose, Fix
dvalle08
• Tokenization is Killing our Multilingual LLM Dream
omarkamali
• • 17SILMA TTS: A Lightweight Open Bilingual Text to Speech Model
silma-ai
• • 10Arcade-3B: SLM Optimization via Orthogonal Decoupling of Latent State Spaces
NoesisLab
• • 1Arcade-3B: 基于隐藏层状态空间正交解耦的 SLM 优化
NoesisLab
• • 1Your Model Doesn't Need to Re-Read the Document: Introducing Stateful Neural Databases
anthonym21
•