NDC Conferences: "Would YOU Survive the Titanic?", with ML and .NET - Simon Painter - NDC Copenhagen 2025
youtube.com·13h·
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🔄ONNX
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Creating Lisp Systems
renato.athaydes.com·2h·
Discuss: Hacker News
🔍Type Checkers
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AI and machine learning outside of Python
infoworld.com·1h
📜TorchScript
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pschatzmann/arduino-audio-tools
github.com·8h
🔄SIMD Programming
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TinyML is the most impressive piece of software you can run on any ESP32
xda-developers.com·5d
⚡ONNX Runtime
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Choosing the best AI coding agent for Bitrise
bitrise.io·12h·
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🤖AI Coding Tools
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What to Do When Your Credit Risk Model Works Today, but Breaks Six Months Later
towardsdatascience.com·15h
⚡ONNX Runtime
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PDA-LSTM: Knowledge-driven page data arrangement based on LSTM for LCM supression in QLC 3D NAND flash memories
arxiv.org·1d
📊Gradient Accumulation
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Extensive FPGA and ASIC resource comparison for blind I/Q imbalance estimators and compensators
sciencedirect.com·18h
🎯Tensor Cores
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Erasing 'Ugly' from the Internet: Propagation of the Beauty Myth in Text-Image Models
arxiv.org·1d
🛠Ml-eng
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Bio-Inspired Neuron Synapse Optimization for Adaptive Learning and Smart Decision-Making
arxiv.org·1d
👁️Attention Optimization
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Variational Data-Consistent Assimilation
arxiv.org·1d
🎓Model Distillation
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Automated Defect Prediction via Cross-Entropy Regularized Graph Neural Networks for Microservice Architectures
dev.to·1d·
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⚡ONNX Runtime
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Prompt Injection as an Emerging Threat: Evaluating the Resilience of Large Language Models
arxiv.org·1d
🔄ONNX
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Beyond Bandwidth: AI's Quantum Leap in Image Transmission
dev.to·22h·
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⚡Flash Attention
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Building TransMonkey: Lessons Learned from Creating an AI Translation Platform
dev.to·7h·
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🤖AI Coding Tools
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Can Conversational AI Counsel for Change? A Theory-Driven Approach to Supporting Dietary Intentions in Ambivalent Individuals
arxiv.org·5h
⚡ONNX Runtime
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Predicting Encoding Energy from Low-Pass Anchors for Green Video Streaming
arxiv.org·1d
🔗Kernel Fusion
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Dual-Stream Diffusion for World-Model Augmented Vision-Language-Action Model
arxiv.org·2d
🏎️TensorRT
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Forecasting Future Anatomies: Longitudianl Brain Mri-to-Mri Prediction
arxiv.org·5h
🏎️TensorRT
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