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northlondoner
searching PlanetScale…
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5 ms
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31.
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Super-Diffusion of Ergodicity
(arxiv.org)
2 points
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northlondoner
8mo ago
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1 comments
32.
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northlondoner
8mo ago
An approach to ergodic regime, nonlinear behaviour.
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Fault tolerant message passing C# with NATS.io: Use Distributed Object Store
(nats-io.github.io)
2 points
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northlondoner
8mo ago
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1 comments
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northlondoner
8mo ago
The Object Store of NATS.io can be used for applications leveraging Map/Reduce computations and Federated Learning settings.
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northlondoner
8mo ago
Message Passing, is a fascinating subject. One of the early prominent project was/is MPI ( https://en.wikipedia.org/wiki/Message_Passing_Interface ). So many great concepts and high-level abstractions are develop
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northlondoner
8mo ago
Good catch :) There is a typo, should read 'Message Passing'.
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northlondoner
8mo ago
Just a difference perspective on this. "Mathematician Joel David says current AI models are basically zero help for mathematics" see: https://x.com/slow_developer/status/2006909560007827686
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Podcast: Solving Distributed Message Passing: NATS.io composite learning [video]
(youtube.com)
1 points
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northlondoner
8mo ago
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4 comments
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northlondoner
8mo ago
Great podcast from Kris regarding NATS.io. If you come from MPI or Spark background for computations for composite computation, NATS seems like solves the inter-system communication.
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Can Quantum-Mechanical Description of Physical Reality Be Considered Complete? [pdf]
(cds.cern.ch)
1 points
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northlondoner
8mo ago
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1 comments
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northlondoner
8mo ago
This is the original EPR paper, namely, Einstein–Podolsky–Rosen paradox. CERN's pdf. 1935 paper titled "Can Quantum-Mechanical Description of Physical Reality be Considered Complete?", Origin paper of 'quantum entangle
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The concept of a distance over Riemannian Manifolds
(science-memo.blogspot.com)
2 points
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northlondoner
9mo ago
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1 comments
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northlondoner
9mo ago
Basic understanding of a metric tensor. For a leisurely read.
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Nats.io lightweight heterogeneous distributed, compositional, federaded learning
(github.com)
2 points
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northlondoner
9mo ago
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1 comments
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northlondoner
9mo ago
Looking into NATS.io as an infrastructure of choice in heterogeneous distributed learning and computing. JetStram concept with deep learning frameworks has a great potential. Lightweight is the key for this superb infrastructure technolog
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northlondoner
9mo ago
Lightweight solution to PyTorch for distributed training, across different modules: NATS.io provides a fault-tolarent communication bit across networks with publsh and fetch on given ids.
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Nats.io JetStream with PyTorch: lightweight compositional learning
(docs.nats.io)
1 points
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northlondoner
9mo ago
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1 comments
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northlondoner
9mo ago
Probably in review now. arXiv physics is moderated with endorsements. Usually authors will update the Journal link on the arXiv. In this case the work is from a distinguished institution.
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Wigner Cat Phases: Transition to Quantum Chaos
(arxiv.org)
1 points
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northlondoner
9mo ago
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1 comments
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northlondoner
9mo ago
A new tunable random matrix ensemble with intriguing properties.
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northlondoner
10mo ago
Interesting. Maybe this was due to matrix-matrix, matrix-vector and vector-vector separation in BLAS/LAPACK routines.
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The Wave Function of the Universe and Inflation
(arxiv.org)
1 points
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northlondoner
10mo ago
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3 comments
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northlondoner
10mo ago
Usually, wavefunction from quantum mechanical sense is not used in classical mechanics in large scale. But in this context, how inflation occurs is an open problem in cosmology. A solid research from the distinguished National Observatory o
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northlondoner
10mo ago
Thought provoking topics, from the nature of time, and information in biological and societal systems.
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New Yorker Dr. Berkan's New Channel RogoTRON
(youtube.com)
1 points
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northlondoner
10mo ago
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2 comments
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Princeton-Affiliated Research: Exploring Singularity-Free Black Holes
(arxiv.org)
1 points
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northlondoner
10mo ago
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1 comments
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northlondoner
10mo ago
Singularity-free black holes offer a more physically plausible alternative in strong gravity. This could offer potential insights into real astronomical observations, such as patterns in orbital data. This is a solid theoretical contributio
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Understanding the empirical law of large numbers and the gambler's fallacy
(science-memo.blogspot.com)
1 points
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northlondoner
10mo ago
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0 comments
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northlondoner
10mo ago
Thanks. Yes, we have novel use-cases which are not available out of box in NumPy.
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Lecture on spectral unfolding: Closely related to local noise removal
(github.com)
2 points
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northlondoner
10mo ago
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1 comments
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