Visit IGEN World Explore IGEN Expo

EXPLORE UPGRADE PLANS

BREAKING

PISA Memory System Draws on Cognitive Psychology to Boost AI Agent Adaptability New Multi-Scale Two-Stream Framework Aims to Decouple Semantics from Distortions in AI-Generated Image Quality Assessment P3B3 Benchmark Reveals Strong Brazilian Portuguese Bias in Large Language Models Controlled Dynamics Attractor Transformer: New Model Targets Graph Anomaly Detection with Biologically Plausible Attention Tamil Nadu OE Spinning Mills Threaten 50% Production Cut Over High Cotton Waste Prices BridgePolicy: New Diffusion Bridge Method Improves Visuomotor Policy Learning in Robotics New Theory Explains How Deep Transformers Achieve Adaptive Inference Using Function Vectors PVminerLLM2 Uses Preference Optimization to Improve Structured Patient Voice Extraction Beyond Models: Reflections on Engineering AI-enabled Systems in a Project-Based Course AutoDojo: Adaptive Attacks Expose Superficial Defenses and Structural Limits in LLM Agents PISA Memory System Draws on Cognitive Psychology to Boost AI Agent Adaptability New Multi-Scale Two-Stream Framework Aims to Decouple Semantics from Distortions in AI-Generated Image Quality Assessment P3B3 Benchmark Reveals Strong Brazilian Portuguese Bias in Large Language Models Controlled Dynamics Attractor Transformer: New Model Targets Graph Anomaly Detection with Biologically Plausible Attention Tamil Nadu OE Spinning Mills Threaten 50% Production Cut Over High Cotton Waste Prices BridgePolicy: New Diffusion Bridge Method Improves Visuomotor Policy Learning in Robotics New Theory Explains How Deep Transformers Achieve Adaptive Inference Using Function Vectors PVminerLLM2 Uses Preference Optimization to Improve Structured Patient Voice Extraction Beyond Models: Reflections on Engineering AI-enabled Systems in a Project-Based Course AutoDojo: Adaptive Attacks Expose Superficial Defenses and Structural Limits in LLM Agents

Home ›› Topics ›› compression

Topic

compression

2 stories

Lossy Compression Slashes Storage 39x for Neural Surrogate Models, Study Finds

Artificial Intelligence #lossy compression#neural networks

Lossy Compression Slashes Storage 39x for Neural Surrogate Models, Study Finds

A new study quantifies the impact of lossy compression on neural generative surrogate models, finding that storage can be reduced by up to 39x and training time by up to 3x with negligible effect on model quality, offering a path to more efficient AI training in data-intensive domains.

Jun 16, 2026 1 source

PolyKV: Layer-Wise KV Cache Compression Boosts LLM Inference Efficiency by Up to 54.5%

Artificial Intelligence #kv cache#compression

PolyKV: Layer-Wise KV Cache Compression Boosts LLM Inference Efficiency by Up to 54.5%

PolyKV is a new framework for compressing the key-value cache in large language model inference. It selects a compression policy per transformer layer and allocates non-uniform cache budgets, outperforming uniform approaches. On LongBench tasks, PolyKV recovers 40%-54.5% of the performance gap between the strongest single-policy baseline and full KV cache.

Jun 16, 2026 1 source