[R] Should I still write up my clinical ML project if the results aren’t “amazing”? Metrics in body!!
⏱️TimescaleDB
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[chromatite] devlog: Faster Pulsejet sample decompression
blog.parallax.fyi·4h
🧩WebAssembly
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Toward provably private insights into AI use
💻Local LLMs
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How We Train Models at Clado
blog.ericmao.com·3d
🧠AI
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Hyperlogloglog (2016)
🏗️AI Infrastructure
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Is 'human' a risky AGI target
🏠Self-hosted AI
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Predictive Microbial Community Dynamics via Stochastic Hybrid Modeling
🧬Computational Biology
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Getting Started with Text Mining in R and Python: Origins, Applications, and Real-World Case Studies
⏰Time-Series Analytics
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STAR: A Privacy-Preserving, Energy-Efficient Edge AI Framework for Human Activity Recognition via Wi-Fi CSI in Mobile and Pervasive Computing Environments
arxiv.org·2d
📱Edge AI
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Artificial Intelligence-Enabled Analysis of Radiology Reports: Epidemiology and Consequences of Incidental Thyroid Findings
arxiv.org·2d
🧠AI
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Clario streamlines clinical trial software configurations using Amazon Bedrock
aws.amazon.com·1d
🧩Low-code
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How Global Payments built a resilient architecture for scale with Cloud SQL
cloud.google.com·2d
📊Database Monitoring
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Talk to Your Data Like a Human: How I Built an AI Airline Analyst
📈Time-series Analytics
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