Resource-Efficient and Robust Inference of Deep and Bayesian Neural Networks on Embedded and Analog Computing Platforms
arxiv.org·1d
🌱Minimal ML
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Well-Typed.Com: Case Study: Debugging a Haskell space leak
well-typed.com·22h
📚Stack Allocation
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From Lossy to Lossless Reasoning
🪜Recursive Descent
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How fast can an LLM go?
⚡Performance
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Hidden network preserved in Slide-tags data allows reference-free spatial reconstruction
nature.com·22h
🔬Nanopasses
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TinyML is the most impressive piece of software you can run on any ESP32
xda-developers.com·12h
💬Smalltalk VMs
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An intro to the Tensor Economics blog
lesswrong.com·2d
🔄Subinterpreters
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Build reliable AI systems with Automated Reasoning on Amazon Bedrock – Part 1
aws.amazon.com·43m
⚖️Inference Rules
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Accelerating AI inferencing with external KV Cache on Managed Lustre
cloud.google.com·6h
⚡Cache-Aware Algorithms
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GIR-Bench: Versatile Benchmark for Generating Images with Reasoning
🗺️Region Polymorphism
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OpenSpliceAI provides an efficient modular implementation of SpliceAI enabling easy retraining across nonhuman species
elifesciences.org·1d
🗺️Region Polymorphism
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My first fifteen compilers (2019)
🔬Nanopasses
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New Dataset PerSense-D Enables Model-Agnostic Dense Object Segmentation
hackernoon.com·3d
🧩Persistent Vectors
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Inference Acceleration from the Ground Up
semiwiki.com·2d
🧠Memory Hierarchy
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Show HN: Fast-posit, sw implementation of posit arithmetic in Rust
🔗Borrowing Extensions
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Bayesian continual learning and forgetting in neural networks
nature.com·1d
🧠Memory Models
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