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156
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Novartis IgAN data in The Lancet show clinically meaningful slowing of kidney function decline with Vanrafia® over 2.5 years
📈
Developer Productivity
novartis.com
·
6d
6 days ago
Actions for Novartis IgAN data in The Lancet show clinically meaningful slowing of kidney function decline with Vanrafia® over 2.5 years
Learning the Universe:
Posterior
Reliability of Neural Generative Models in High-Dimensional Field-Level
Inference
of Cosmic Initial Conditions
🤖
AI
Content type:
Academic
arxiv.org
·
17h
17 hours ago
Actions for Learning the Universe: Posterior Reliability of Neural Generative Models in High-Dimensional Field-Level Inference of Cosmic Initial Conditions
Understanding HNSW: The Engine Behind Fast Vector Search
🧩
Embeddings
chimchim89.github.io
·
3d
3 days ago
Actions for Understanding HNSW: The Engine Behind Fast Vector Search
Second nature - The observatory (part 30)
📷
Photography
Content type:
Blog
spiekerbas.bearblog.dev
·
3d
3 days ago
Actions for Second nature - The observatory (part 30)
Uniform
central
limit
theorems
for non-stationary processes via relative weak convergence
📊
Modeling
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Uniform central limit theorems for non-stationary processes via relative weak convergence
What Are AI Hallucinations? And How To Improve Accuracy in Pipelines
💬
LLMs
Content type:
Blog
blog.n8n.io
·
5d
5 days ago
Actions for What Are AI Hallucinations? And How To Improve Accuracy in Pipelines
DOGMATIC: A Dogs vs.
Statins
Randomized Controlled Trial
🔬
Science
substackcdn.com
·
4d
4 days ago
·
Substack
Actions for DOGMATIC: A Dogs vs. Statins Randomized Controlled Trial
On a Tube Of Hot Gas
🐍
Python
Content type:
News
Content type:
Blog
chillphysicsenjoyer.substack.com
·
5d
5 days ago
·
Substack
Actions for On a Tube Of Hot Gas
Validity and Power of Heavy-Tailed Combination
Tests
under Asymptotic Dependence
🧮
Algorithms
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Validity and Power of Heavy-Tailed Combination Tests under Asymptotic Dependence
Gradient-informed Hamiltonian
Monte
Carlo
for multicomponent CALPHAD model optimization and uncertainty quantification
🔬
Science
Content type:
Academic
sciencedirect.com
·
4d
4 days ago
Actions for Gradient-informed Hamiltonian Monte Carlo for multicomponent CALPHAD model optimization and uncertainty quantification
Must-Read Joey Fishkin: “It’s All Politics”
📐
Quantitative Politics
Content type:
Blog
electionlawblog.org
·
6d
6 days ago
Actions for Must-Read Joey Fishkin: “It’s All Politics”
S&P 500, Nasdaq Futures Slip Amid Renewed US-Iran Tensions, Chipmaker Losses: AVGO, KEEL, CRWD, MSTR Stocks In Focus
🌍
Geopolitics
stocktwits.com
·
6d
6 days ago
Actions for S&P 500, Nasdaq Futures Slip Amid Renewed US-Iran Tensions, Chipmaker Losses: AVGO, KEEL, CRWD, MSTR Stocks In Focus
Ergodic
Theory
in Classical and
Bayesian
Inference
🔤
Language Models
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Ergodic Theory in Classical and Bayesian Inference
A massive hiring wave reveals trading firms are no longer viewing Polymarket as a niche betting tool
📊
Modeling
Content type:
News
coindesk.com
·
4d
4 days ago
Actions for A massive hiring wave reveals trading firms are no longer viewing Polymarket as a niche betting tool
Semi-Parametric
Inference
for Doubly
Stochastic
Spatial Point Processes: An Approximate Penalized Poisson
Likelihood
Approach
📊
Modeling
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Semi-Parametric Inference for Doubly Stochastic Spatial Point Processes: An Approximate Penalized Poisson Likelihood Approach
A 185 TOPS/W/mm2
Bayesian
Inference
Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue
🤖
AI
Content type:
Academic
arxiv.org
·
17h
17 hours ago
Actions for A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue
A Structural Separation Between Chernoff and Convex-Order Optimality in Robust
Testing
🧮
Algorithms
Content type:
Academic
arxiv.org
·
17h
17 hours ago
Actions for A Structural Separation Between Chernoff and Convex-Order Optimality in Robust Testing
Parameter estimation in generalized fractional neuronal models
📊
Modeling
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Parameter estimation in generalized fractional neuronal models
Inference
in partially identified moment models via regularized optimal transport
📊
Modeling
Content type:
Academic
arxiv.org
·
17h
17 hours ago
Actions for Inference in partially identified moment models via regularized optimal transport
Methods for adjusting for covariate measurement error in flexible modelling of functional form: results of a blinded, controlled neutral comparison simulation study
📊
Modeling
Content type:
Academic
arxiv.org
·
17h
17 hours ago
Actions for Methods for adjusting for covariate measurement error in flexible modelling of functional form: results of a blinded, controlled neutral comparison simulation study
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