Trump calls climate change a con; science braces for more
japantimes.co.jp·16h
🌡️Preservation Thermodynamics
Innovation, openness, and the future of intelligence: an interview with Brigt Harr Vaage
tandfonline.com·9h
🕵Intelligence
How ‘Les Mis’ Became So Successful
nytimes.com·5h
📈Time Series
Audacity 4: a glimpse of a new, more modern UI for the free audio editor
cdm.link·1d·
Discuss: Hacker News
💿FLAC Archaeology
This Puzzle Shows Just How Far LLMs Have Progressed in a Little Over a Year
towardsdatascience.com·1d
📐Mathematical Art
Teaching Models to Decide When to Retrieve: Adaptive RAG, Part 4
blog.reachsumit.com·2d·
Discuss: Hacker News
🧠Learned Indexing
Cyberpsychology’s Influence on Modern Computing
cacm.acm.org·1h
🎯Threat Hunting
AI tool visually maps science funding and its real-world impacts
phys.org·2d
🔬Academic Search
High-precision measurements reveal the energies of nuclear decays
phys.org·1d
🔲Lattice Cryptography
How I Actually Use Statistics as a Data Scientist
kdnuggets.com·1d
🧪Data science
acia-workflows: Automated Single-cell Imaging Analysis for Scalable and Deep Learning-based Live-cell Imaging Analysis Workflows
arxiv.org·12h
📄Document Digitization
Beyond Transformers: Can MLPs Unlock the Potential of In-Context Learning?
dev.to·20h·
Discuss: DEV
🌳Context free grammars
Med-K2N: Flexible K-to-N Modality Translation for Medical Image Synthesis
arxiv.org·2d
🧠Machine Learning
From Theory to Practice: Evaluating Data Poisoning Attacks and Defenses in In-Context Learning on Social Media Health Discourse
arxiv.org·1d
🔗Monadic Parsing
Evaluating LLM Safety Across Child Development Stages: A Simulated Agent Approach
arxiv.org·12h
💻Programming languages
From "Arbitrary Timberland" To "Skyline Charts": Is Visualization At Risk From The Pollution of Scientific Literature?
arxiv.org·12h
📊Citation Graphs
Carbon Emission Prediction in China Considering New Quality Productive Forces Using a Deep & Corss Learning Modeling Framework
arxiv.org·12h
🧠Machine Learning
Quant-dLLM: Post-Training Extreme Low-Bit Quantization for Diffusion Large Language Models
arxiv.org·1d
💻Local LLMs
Read Between the Lines: A Benchmark for Uncovering Political Bias in Bangla News Articles
arxiv.org·1d
⚙️Compression Benchmarking
Efficient Test-Time Scaling for Small Vision-Language Models
arxiv.org·1d
🗜️LZW Variants