# neuron

Published articles for neuron.

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## Neural Networks Explained In Plain English

DevFeed: [Neural Networks Explained In Plain English](<https://devfeed.tech/articles/neural-networks-explained-in-plain-english-33575.md>)

Original publisher: [Read original article](<https://blog.algomaster.io/p/neural-networks-explained-in-plain>)

Author: Ashish Pratap Singh

Published: 2026-04-21T04:01:25Z

Content type: tutorial

Language: en

Sources: [AlgoMaster Newsletter](<https://devfeed.tech/sources/algomaster-newsletter.md>)

Topics: [Neural Network](<https://devfeed.tech/topics/neural-network.md>), [AI Engineering](<https://devfeed.tech/topics/ai-engineering.md>), [Machine learning](<https://devfeed.tech/topics/machine-learning.md>)

Tags: [ai-engineering](<https://devfeed.tech/tags/ai-engineering.md>), [applications](<https://devfeed.tech/tags/applications.md>), [concepts](<https://devfeed.tech/tags/concepts.md>), [function](<https://devfeed.tech/tags/function.md>), [mlp](<https://devfeed.tech/tags/mlp.md>), [neural-networks](<https://devfeed.tech/tags/neural-networks.md>), [neuron](<https://devfeed.tech/tags/neuron.md>), [understand](<https://devfeed.tech/tags/understand.md>)

### AI overview

A plain-English introduction to neural networks. It explains neurons or perceptrons, activation functions, weights and biases, and how stacking neurons into dense layers creates a multilayer perceptron (MLP) architecture used in AI systems.

### Source excerpt

All popular AI systems that you see today are made up of basic computing units called Neurons or Perceptrons. These connect to form a network called a Neural network that performs various complex computations.

## AI-generated synthetic neurons speed up brain mapping

DevFeed: [AI-generated synthetic neurons speed up brain mapping](<https://devfeed.tech/articles/ai-generated-synthetic-neurons-speed-up-brain-mapping-6748.md>)

Original publisher: [Read original article](<https://research.google/blog/ai-generated-synthetic-neurons-speed-up-brain-mapping/>)

Published: 2026-04-16T12:18:00Z

Content type: article

Language: en

Sources: [The latest research from Google](<https://devfeed.tech/sources/the-latest-research-from-google.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [AI Models](<https://devfeed.tech/topics/ai-models.md>), [Google](<https://devfeed.tech/topics/google.md>), [Point cloud](<https://devfeed.tech/topics/point-cloud.md>), [Training AI Models](<https://devfeed.tech/topics/training-ai-models.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [neuron](<https://devfeed.tech/topics/neuron.md>), [data](<https://devfeed.tech/topics/data.md>)

Tags: [3d](<https://devfeed.tech/tags/3d.md>), [accelerate](<https://devfeed.tech/tags/accelerate.md>), [ai](<https://devfeed.tech/tags/ai.md>), [classification](<https://devfeed.tech/tags/classification.md>), [errors](<https://devfeed.tech/tags/errors.md>), [general-science](<https://devfeed.tech/tags/general-science.md>), [generation](<https://devfeed.tech/tags/generation.md>), [google](<https://devfeed.tech/tags/google.md>), [health-bioscience](<https://devfeed.tech/tags/health-bioscience.md>), [iclr](<https://devfeed.tech/tags/iclr.md>), [iclr-2026](<https://devfeed.tech/tags/iclr-2026.md>), [images](<https://devfeed.tech/tags/images.md>), [machine-intelligence](<https://devfeed.tech/tags/machine-intelligence.md>), [mapping](<https://devfeed.tech/tags/mapping.md>), [model](<https://devfeed.tech/tags/model.md>), [models](<https://devfeed.tech/tags/models.md>), [neuron](<https://devfeed.tech/tags/neuron.md>), [partners](<https://devfeed.tech/tags/partners.md>), [research](<https://devfeed.tech/tags/research.md>), [scale](<https://devfeed.tech/tags/scale.md>), [science](<https://devfeed.tech/tags/science.md>), [synthetic](<https://devfeed.tech/tags/synthetic.md>), [visualization](<https://devfeed.tech/tags/visualization.md>)

### AI overview

Google Research describes how MoGen generates synthetic neuronal shapes to improve AI models that reconstruct brain wiring maps. Adding synthetic training examples reduced reconstruction errors by 4.4%, potentially saving 157 person-years of manual proofreading for a complete mouse brain.

### Source excerpt

General Science

## Introducing multi-backends (TRT-LLM, vLLM) support for Text Generation Inference

DevFeed: [Introducing multi-backends (TRT-LLM, vLLM) support for Text Generation Inference](<https://devfeed.tech/articles/introducing-multi-backends-trt-llm-vllm-support-for-text-generation-inference-7501.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/tgi-multi-backend>)

Author: Morgan Funtowicz; Hugo Larcher

Published: 2025-01-16T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [tgi](<https://devfeed.tech/topics/tgi.md>), [model-deployment](<https://devfeed.tech/topics/model-deployment.md>), [Rust](<https://devfeed.tech/topics/rust.md>), [vllm](<https://devfeed.tech/topics/vllm.md>), [TensorRT-LLM](<https://devfeed.tech/topics/tensorrt-llm.md>), [Concurrency](<https://devfeed.tech/topics/concurrency.md>), [Memory Safety](<https://devfeed.tech/topics/memory-safety.md>), [servers](<https://devfeed.tech/topics/servers.md>), [llama.cpp](<https://devfeed.tech/topics/llama-cpp.md>), [sglang](<https://devfeed.tech/topics/sglang.md>), [Python](<https://devfeed.tech/topics/python.md>), [Code](<https://devfeed.tech/topics/code.md>)

Tags: [backend](<https://devfeed.tech/tags/backend.md>), [backends](<https://devfeed.tech/tags/backends.md>), [community](<https://devfeed.tech/tags/community.md>), [concurrency](<https://devfeed.tech/tags/concurrency.md>), [http](<https://devfeed.tech/tags/http.md>), [inference](<https://devfeed.tech/tags/inference.md>), [jetstream](<https://devfeed.tech/tags/jetstream.md>), [llama-cpp](<https://devfeed.tech/tags/llama-cpp.md>), [memory-safety](<https://devfeed.tech/tags/memory-safety.md>), [neuron](<https://devfeed.tech/tags/neuron.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [performance](<https://devfeed.tech/tags/performance.md>), [production](<https://devfeed.tech/tags/production.md>), [python](<https://devfeed.tech/tags/python.md>), [rust](<https://devfeed.tech/tags/rust.md>), [sglang](<https://devfeed.tech/tags/sglang.md>), [tensorrt-llm](<https://devfeed.tech/tags/tensorrt-llm.md>), [tgi](<https://devfeed.tech/tags/tgi.md>), [vllm](<https://devfeed.tech/tags/vllm.md>)

### AI overview

Hugging Face introduces TGI Backends, a unified frontend architecture for integrating inference solutions such as vLLM, SGLang, llama.cpp, and TensorRT-LLM. The approach lets users switch backends based on model, hardware, and performance requirements while supporting production deployment across diverse accelerators. The article also describes TGI's Rust and Python components, including Rust-based HTTP and scheduling layers designed for memory safety and concurrency.

### Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.