Motional’s Post

Look, I don't know what it will look like, and people far smarter than me will be the ones to figure it out, but mark my words: When someone figures out how to use the minimal quantum processing we have as the engine of a Recurrent Neural Networks or Generative Adversarial Networks (GAN), we are going to going to see something truly amazing and terrifying. You might think we are far away from having the quantum compute power to have any meaningful usage. Again people far smarter than me are already working on this, albeit most academic papers are from the past 7 months. Yet I argue with the creation and adoption of GenAI model tools for mobile devices, we're close to someone being able to put 2 and 2 together to create a billion.

Predicting Effluent Quality Parameters Using Ensemble Models, Artificial Neural Networks and Naked Mole-Rat Algorithm Elham Ghanbari Adivi1*, Ali Raeisi2 Keywords: #Effluent_Quality_Parameters, #Artificial_Neural_Network_Models, #Uncertainty, #Optimization_Algorithms, #Wastewater_Treatment_Plant https://lnkd.in/dNS77aMG

Check out our article: Bond sensitive graph neural networks for predicting high temperature superconductors Full detail found at https://lnkd.in/gmtCbAKz

Did you know that you cannot "over-train" a Random Forest? Unlike gradient boosting or neural networks, where increasing the number of iterations or epochs can eventually lead to overfitting, one can never overfit a RF by increasing the number of estimators. #machinelearning #datascience #neuralnetworks

Can Neural Networks Reason? Exploring AlphaGo's Existence Proof Discover whether neural networks can truly reason with the example of AlphaGo and AlphaZero's exceptional performance. Dive into the fascinating world of neural circuits and their potential for reasoning abilities. #NeuralNetworks #ReasoningAbility #AlphaGo #AlphaZero #ArtificialIntelligence #AIResearch #CognitiveScience #DeepLearning #NeuralCircuits #GamePlayingAI

TINN: Thermodynamics-Informed Neural Networks, Metriplectic/GENERIC Flow https://lnkd.in/ezEd6WDS

Time series prediction involves forecasting future values based on past data. Long Short-Term Memory (LSTM) models are a type of neural network that excels in this area. Unlike simple models, LSTMs can rememb...  #statology

Cleaning procedure for a plate heat exchanger derived from data analysis based on recurrent neural networks Read More: https://ow.ly/vY8L50QTa0c #hydrotreatment #H2 #equipment

A successful decision always comes from a series of random states. Whenever we think stochastically, the approaches rely on sophisticated targets and existing data. I found the noticeable outcomes of this technique in several paradigms including probabilistic decision-making, neural networks, and even in some XR systems. The basic requirement for its implementation is to develop a target prototype to effectively fit the provided data.