Learning to program "recycles" preexisting F-P pop codes of logical algorithms
jneurosci.org·19h·
Discuss: Hacker News
🔁Spaced Repetition
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Reflections on Trusting Trust (1984)
web.archive.org·18h·
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🤝Paxos
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Mathematics solves problems by pen and paper. CS helps us to go far beyond that
cacm.acm.org·19h·
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🔢Kolmogorov Complexity
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Efficient Generative AI Boosts Probabilistic Forecasting of Sudden Stratospheric Warmings
arxiv.org·3d
🥶Cold Start Problem
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Yes, you should understand backprop (2016)
karpathy.medium.com·1d·
Discuss: Hacker News
🤖Machine Learning
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Unlock Autonomy: Next-Gen LLMs Learn to Decode Themselves by Arvind Sundararajan
dev.to·17h·
Discuss: DEV
🤖Local LLMs
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Un-Attributability: Computing Novelty From Retrieval & Semantic Similarity
arxiv.org·5h
🧭Content Discovery
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Functional embeddings enable Aggregation of multi-area SEEG recordings over subjects and sessions
arxiv.org·5h
🧭Content Discovery
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From Data to Rewards: a Bilevel Optimization Perspective on Maximum LikelihoodEstimation
dev.to·1d·
Discuss: DEV
🔢Kolmogorov Complexity
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Hyper-Dimensional Bayesian Optimization for Enhanced Statistical Process Control
dev.to·1d·
Discuss: DEV
🔢Kolmogorov Complexity
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My ML Learning Journey: From Confusion to Building a Working Model
kaggle.com·3d·
Discuss: DEV
🤖Machine Learning
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Toward a Compressed Core of Human Knowledge: The High-Dimensional Vector Network for AI
reddit.com·16h·
Discuss: r/AfterClass
🔢Kolmogorov Complexity
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SERVIMON: AI-Driven Predictive Maintenance and Real-Time Monitoring for Astronomical Observatories
arxiv.org·5h
🤖Machine Learning
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Quantum-Resistant Federated Learning: Implementing Post-Quantum Cryptography in Cross-Silo Model Aggregation
dev.to·59m·
Discuss: DEV
🌐Federated Systems
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AI's Blind Spot: A Simple Filter for Unlearning Bias
dev.to·1d·
Discuss: DEV
🤖AI Ethics
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Transformers for Unseen Patterns: Bayesian Clustering Reimagined
dev.to·4d·
Discuss: DEV
🧭Content Discovery
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