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223
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Predictive
modeling
in biology and medicine: Digital twins and multi-scale
modeling
🤖
AI
journals.plos.org
·
6d
6 days ago
Actions for Predictive modeling in biology and medicine: Digital twins and multi-scale modeling
Generalizable
self-supervised
learning
for imaging flow cytometry on multi-dataset leukocyte differential
🤖
AI
Content type:
Academic
nature.com
·
20h
20 hours ago
Actions for Generalizable self-supervised learning for imaging flow cytometry on multi-dataset leukocyte differential
Multilevel Stochastic
Gradient
Descent
for Risk-Averse PDE-Constrained
Optimization
🧮
Algorithms
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Multilevel Stochastic Gradient Descent for Risk-Averse PDE-Constrained Optimization
The
Inference
Alpha: Maximizing Frontier
Models
on AMD
🕸️
Neural Networks
Content type:
Blog
digitalocean.com
·
5h
5 hours ago
Actions for The Inference Alpha: Maximizing Frontier Models on AMD
Core AI (Website)
🤖
AI
developer.apple.com
·
1d
1 day ago
Actions for Core AI (Website)
Machine
learning
from scratch, what to build before using scikit-learn
🤖
AI
Content type:
Tutorial
iwtlp.com
·
6h
6 hours ago
·
DEV
Actions for Machine learning from scratch, what to build before using scikit-learn
Backpropagation
Without the Magic: A First-Principles Derivation
🤖
AI
Content type:
Blog
medium.com
·
5d
5 days ago
Actions for Backpropagation Without the Magic: A First-Principles Derivation
A system programmer’s guide to LLM
inference
🔤
Language Models
Content type:
Blog
blog.xiangpeng.systems
·
2d
2 days ago
·
Hacker News
Actions for A system programmer’s guide to LLM inference
Optuna: Smarter
Hyperparameter
Optimization
Beyond Grid Search.
🕸️
Neural Networks
Content type:
Blog
medium.com
·
11h
11 hours ago
Actions for Optuna: Smarter Hyperparameter Optimization Beyond Grid Search.
Two Leaps to 1000 Tokens/s on a 1T-Parameter
Model
: On
Inference
Systems, Execution Boundaries, and Co-Design
📈
Developer Productivity
Content type:
Blog
tilert.ai
·
2d
2 days ago
·
Hacker News
Actions for Two Leaps to 1000 Tokens/s on a 1T-Parameter Model: On Inference Systems, Execution Boundaries, and Co-Design
Major Types of Machine
Learning
🕸️
Neural Networks
Content type:
Blog
medium.com
·
5d
5 days ago
Actions for Major Types of Machine Learning
DeepSeekV4 1.6T Day 0 to Day 43 Performance Over Time - Huawei, GB300 NVL72, MI355X, B200
🇨🇳
China
Content type:
News
newsletter.semianalysis.com
·
1d
1 day ago
·
Hacker News
Actions for DeepSeekV4 1.6T Day 0 to Day 43 Performance Over Time - Huawei, GB300 NVL72, MI355X, B200
Learning
Fuzzy Logic: Automatic Rule Discovery Through Differentiable Circuits
🕸️
Neural Networks
metafunctor.com
·
3d
3 days ago
·
DEV
Actions for Learning Fuzzy Logic: Automatic Rule Discovery Through Differentiable Circuits
Ultrafast machine
learning
on FPGAs via Kolmogorov-Arnold Networks
🤖
AI
aarushgupta.io
·
1d
1 day ago
·
Lobsters
,
Hacker News
Actions for Ultrafast machine learning on FPGAs via Kolmogorov-Arnold Networks
zhongkaifu/TensorSharp: A C#
inference
engine
for running large language
models
(LLMs) locally using GGUF model files. TensorSharp provides a console application, a web-based chatbot interface, and Ollama/OpenAI-compatible HTTP APIs for programmatic access. It supports Windows/MacOS/Linux with full GPU capability
💬
LLMs
Content type:
Code
github.com
·
6d
6 days ago
·
Hacker News
Actions for zhongkaifu/TensorSharp: A C# inference engine for running large language models (LLMs) locally using GGUF model files. TensorSharp provides a console application, a web-based chatbot interface, and Ollama/OpenAI-compatible HTTP APIs for programmatic access. It supports Windows/MacOS/Linux with full GPU capability
Welcome to Machine
Learning
With Manya: The Ultimate Adventure Map!
🤖
AI
Content type:
Blog
medium.com
·
2d
2 days ago
Actions for Welcome to Machine Learning With Manya: The Ultimate Adventure Map!
**PyTorch Stochastic
Gradient
Optimization
Technique**
🕸️
Neural Networks
sitepoint.com
·
6d
6 days ago
Actions for **PyTorch Stochastic Gradient Optimization Technique**
Topology-aware reconstruction of cellular state landscapes from microscopy using
self-supervised
learning
🧩
Embeddings
Content type:
Academic
biorxiv.org
·
6d
6 days ago
Actions for Topology-aware reconstruction of cellular state landscapes from microscopy using self-supervised learning
Disjoint or Overlapping?
Inference
Windowing for Reconstruction-Based Time Series Anomaly Detection
📊
Statistics
Content type:
Academic
arxiv.org
·
16h
16 hours ago
Actions for Disjoint or Overlapping? Inference Windowing for Reconstruction-Based Time Series Anomaly Detection
A multiscale, Bayesian
inference
approach to augment mechanistic
models
of cell signaling with
machine-learning
predictions of binding affinity
📊
Statistics
journals.plos.org
·
5d
5 days ago
Actions for A multiscale, Bayesian inference approach to augment mechanistic models of cell signaling with machine-learning predictions of binding affinity
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