M.Saber

[Wassim Tenachi @WassimTenachi]

After 1.5 years of hard work, I am thrilled to share with you Φ-SO - a Physical Symbolic Optimization package that uses deep reinforcement learning to discover physical laws from data . Here is Φ-SO discovering the analytical expression of a damped harmonic oscillator👇

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[M.Saber @MSaber24]

@ElonMuskAOC 8452839

[Machine Learning FLX @machinelearnflx]

Quantum Graph Neural Networks Applied https://t.co/9epugqkcA2 #NeuralNetwork

[Week in Quantum ML News @WeekinQMLnews]

📣 Latest version of "This Week in Quantum Machine Learning" is out!
https://t.co/y7nNpJC3Gi

#Quantum #MachineLearning #ai #ml #python #spooky

[M.Saber @MSaber24]

That’s the kind of power we’re seeing from #hypergraphs, to go above and beyond #graphtheory

https://t.co/zlGpuZVjqm

[M.Saber @MSaber24]

Its architecture is a Transformer decoder
https://t.co/lj85EeGz66

[Kirk Borne @KirkDBorne]

.@DeepMind's Gato is a multi-modal, multi-task generalist #AI agent: https://t.co/l10igm2lXA
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Learn more here: https://t.co/PtKJcSTvAo
and here: https://t.co/S8S2T8UVn3
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#abdsc #BigData #DataScience #NeuralNetworks #MachineLearning #DeepLearning #Algorithms #Transformers

[M.Saber @MSaber24]

https://t.co/l2FJ7d9UWQ

[Miles Cranmer @MilesCranmer]

Awesome @QuantaMagazine @walkingthedot article on interpretable machine learning for science
https://t.co/xSCC45wffk

Guest appearances by @rogertgn @laurezanna @hodlipson, myself, and others. Discusses methods such as SINDy (@eigensteve++), PySR, Eureqa, NN interpretation w/ SR!

[M.Saber @MSaber24]

Goal of #SymbolicRegression to scanning countless ways of linking variables with basic mathematical operations to find equation that most accurately predicts system’s behavior. #MachineScientists can be given boost by integrating with #DNN
#Eureqa #PySR https://t.co/zUNkMRxdUS

[M.Saber @MSaber24]

https://t.co/RkDxU65CQH

[M.Saber @MSaber24]

Network science-based algorithm called α-ICON, to detect ultimate controlling entities in global corporate networks. to identify super-holders who exert control in networks with millions of nodes. #NetworkScience
https://t.co/T6Ez3zDaz6
https://t.co/6AlquXuzLi

[M.Saber @MSaber24]

#Intel Researchers lay the groundwork for an AI hive mind -Multiagent Evolutionary Reinforcement Learning (#MERL) it sacrificing its local reward for the betterment of the team.

MERL: https://t.co/kSEfYnuCML
CERL: https://t.co/uckahFLd4G
Source: https://t.co/xb8foHOlo0

[M.Saber @MSaber24]

Intel’s #MERL system allows multiple agents to attack larger problem by breaking it down into individual tasks that can then be handled by individual agents. The agents collaborate in order to speed up learning across each task.
#MultiagentEvolutionaryRL
https://t.co/zRJWwfagQn

[M.Saber @MSaber24]

https://t.co/YuLUajzzRO

[Erik Brynjolfsson @erikbryn]

AI writing code for AI.

#GPT3 #AI #MachineLearning @DigEconLab

[M.Saber @MSaber24]

US investigates energy attacks targeting brains of American citizens.
https://t.co/xlmhTCYSre

[M.Saber @MSaber24]

a measure of consciousness could be the entropy in the correlation matrix of the synchronization
https://t.co/sFDyd6N7Po

[M.Saber @MSaber24]

Gaining a better understanding of those theoretical mathematical models now can make difference in future. #PercolationTheory easily adaptable, new playgrounds for mathematicians, practical applications for scientists #MeshNetworks

https://t.co/fWnxEPXYIr
https://t.co/eXFpXE8943

[M.Saber @MSaber24]

#Julich-Brain is dynamic atlas, probabilistic map of human brains that accounts for individual differences using a computational framework. #CytoarchitecturalMaps

https://t.co/gPj0fpLRIE