Why "AI Slop" Might Be the Best Thing to Happen to Visual Storytelling
ispo.ai·1d·
Discuss: Hacker News
🏛Digital humanities
Technical Explanations Why LLMs Use Em Dashes
msukhareva.substack.com·15h·
Discuss: Substack
⚙️Compression Benchmarking
LVTINO: LAtent Video consisTency INverse sOlver for High Definition Video Restoration
arxiv.org·3d
🧠Neural Codecs
Taming Text-to-Sounding Video Generation via Advanced Modality Condition and Interaction
arxiv.org·2h
🎧Vorbis Encoding
Adaptive Mesh Refinement for Bandwidth-Efficient Volumetric Video Streaming
dev.to·1d·
Discuss: DEV
📊Rate-Distortion Theory
Taming Imperfect Process Verifiers: A Sampling Perspective on Backtracking
arxiv.org·2h
🧮Kolmogorov Complexity
Real Time Headway Predictions in Urban Rail Systems and Implications for Service Control: A Deep Learning Approach
arxiv.org·2h
🧠Machine Learning
TypeNet Benchmark for development of authentication keystroke technologies
github.com·1d·
Discuss: Hacker News
🗜️LZSS Variants
Fun with HyperLogLog and SIMD
vaktibabat.github.io·1d·
Discuss: Hacker News, r/rust
📊HyperLogLog
MobileNetV2 Paper Walkthrough: The Smarter Tiny Giant
towardsdatascience.com·2d
⧗Information Bottleneck
SpeechCT-CLIP: Distilling Text-Image Knowledge to Speech for Voice-Native Multimodal CT Analysis
arxiv.org·2h
🎙️Whisper
Self-Reflective Generation at Test Time
arxiv.org·2h
⚡Incremental Computation
Outsmarting Radio Jammers with AI: A Real-Time Defense Revolution
dev.to·4h·
Discuss: DEV
🌊Stream Ciphers
MoGIC: Boosting Motion Generation via Intention Understanding and Visual Context
arxiv.org·2h
🧠Learned Codecs
Towards CONUS-Wide ML-Augmented Conceptually-Interpretable Modeling of Catchment-Scale Precipitation-Storage-Runoff Dynamics
arxiv.org·2h
🧠Machine Learning
Scalable Multi-Modal Knowledge Integration for Robust Anomaly Detection in Industrial Control Systems
dev.to·8h·
Discuss: DEV
🔍Vector Forensics
To Distill or Decide? Understanding the Algorithmic Trade-off in Partially Observable Reinforcement Learning
arxiv.org·2h
⧗Information Bottleneck
ELMF4EggQ: Ensemble Learning with Multimodal Feature Fusion for Non-Destructive Egg Quality Assessment
arxiv.org·2h
🧠Machine Learning
Decoding the Future: Tensor Networks for Lightning-Fast Wireless Signals
dev.to·1d·
Discuss: DEV
🕸️Tensor Networks
AWS Certified Machine Learning Engineer Core Concepts
dev.to·1d·
Discuss: DEV
🧠Machine Learning