Lossy Compression Bounds, Information Bottleneck, Perceptual Coding, Quality Metrics
Nvidia-backed startup invents Ethernet memory pool to help power AI — claims it can add up to 18TB of DDR5 capacity for large-scale inference workloads and redu...
tomshardware.com·6h
5 Java Performance Pitfalls and How Real-World Profiling Can Fix Them
hackernoon.com·21h
SMPTE Announces 2025 Honorees
smpte.org·3h
Beyond Listenership: AI-Predicted Interventions Drive Improvements in Maternal Health Behaviours
arxiv.org·1d
Structured Parsing Is the Key to Making LLMs Work on Large Codebases
hackernoon.com·21h
GCL-GCN: Graphormer and Contrastive Learning Enhanced Attributed Graph Clustering Network
arxiv.org·2d
The Performance of Low-Synchronization Variants of Reorthogonalized Block Classical Gram--Schmidt
arxiv.org·12h
AI Literacy as a Key Driver of User Experience in AI-Powered Assessment: Insights from Socratic Mind
arxiv.org·12h
Training language models to be warm and empathetic makes them less reliable and more sycophantic
arxiv.org·12h
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