PXAI
v8.42
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Date
8.42
[ADDED SOURCE REGISTRY LIST VIEW]
04/03/2026 16:19
8.41
[LOCALIZED INDEX.PHP MENU AND MODALS TO US ENGLISH]
04/03/2026 16:11
8.40
[TRANSLATED FRONTEND TO US ENGLISH]
04/03/2026 16:10
8.41
[RESTORED DETAILED SOURCES VIEW (ARTICLES + EVENTS) IN US ENGLISH]
04/03/2026 15:50
8.41
[RESTORED DETAILED SOURCES VIEW (ARTICLES + EVENTS) IN US ENGLISH]
04/03/2026 15:46
8.40
[REVERTED TO STANDARD TABLE LAYOUT (US ENGLISH)]
04/03/2026 15:40
8.39
[FIXED DB CONNECTION SCOPE IN SOURCES LOGIC]
04/03/2026 15:38
8.38
[TRANSLATED SOURCES VIEW TO US ENGLISH]
04/03/2026 15:01
8.37
[FULL FRONTEND TRANSLATION (MENU, FEED, COMMENTS, TTS) TO US ENGLISH.]
04/03/2026 14:58
8.67
[MANUAL OVERRIDE OF GREEK MENU ITEMS]
04/03/2026 13:36
8.66
[NGINX OPTIMIZED MENU FIX]
04/03/2026 13:33
8.65
[FIXED GREEK MENU ITEMS]
04/03/2026 13:32
8.60
[MENU & UI LOCALIZATION TO US ENGLISH]
04/03/2026 13:30
8.50
[FULL TRANSLATION TO US ENGLISH]
04/03/2026 13:27
9.75
[INJECTED EVENT FUSION_SUMMARY INTO FEED LOOPS TO DISPLAY AI TAGS CORRECTLY]
26/02/2026 14:44
PXAI Audio Feed
+5
ΟΛΑ
31/03 07:00
arxiv.org
Gaussian Joint Embeddings For Self-Supervised Representation Learning
self-supervised learning
Gaussian joint embeddings
probabilistic modeling
multi-modal inverse problems
representation collapse
generative modeling
30/03 07:00
arxiv.org
A Compression Perspective on Simplicity Bias
simplicity bias
minimum description length
neural networks
feature selection
supervised learning
compression
28/03 11:41
dev.to
Gaussian Mixture Models: The EM Algorithm in Practice
Gaussian Mixture Models
EM algorithm
clustering
probabilistic assignment
unsupervised learning
data science
27/03 20:35
dev.to
Building a Linear Regression Model from Scratch with Gradient Descent in Python
linear regression
gradient descent
Python
machine learning
supervised learning
coding tutorial
27/03 06:00
arxiv.org
Learning Mesh-Free Discrete Differential Operators with Self-Supervised Graph Neural Networks
mesh-free
discrete differential operators
graph neural networks
self-supervised learning
polynomial consistency
meshless methods
26/03 12:11
dev.to
Self-Supervised Temporal Pattern Mining for satellite anomaly response operations for extreme data sparsity scenarios
self-supervised learning
temporal pattern mining
satellite anomaly detection
data sparsity
silent satellite
telemetry analysis
20/03 06:00
arxiv.org
Retrieval-Augmented LLM Agents: Learning to Learn from Experience
Retrieval‑augmented LLMs
fine‑tuning
LoRA
experience replay
generalization
supervised learning
18/03 17:13
takara.ai
Discovering Decoupled Functional Modules in Large Language Models
Large Language Models
Module Discovery
Unsupervised Learning
Neural Disentanglement
Iterative Decoupling
Functional Organization
18/03 12:04
dev.to
Self-Supervised Temporal Pattern Mining for satellite anomaly response operations for low-power autonomous deployments
self‑supervised learning
satellite telemetry
anomaly detection
CubeSat
low‑power autonomous
temporal pattern mining
18/03 12:04
dev.to
Self-Supervised Temporal Pattern Mining for satellite anomaly response operations for low-power autonomous deployments
self‑supervised learning
satellite telemetry
anomaly detection
CubeSat
low‑power autonomous
temporal pattern mining
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