Essays about: "stochastic computation"

Showing result 1 - 5 of 25 essays containing the words stochastic computation.

1. 1. Simulated molecular adder circuits on a surface of DNA : Studying the scalability of surface chemical reaction network digital logic circuits

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Jakob Arvidsson; [2023]
   Keywords : Surface chemical reaction networks; Molecular computing; DNA computing; Circuit simulation; Adders; Ytbundna kemiska reaktionsnätverk; Molekylär beräkning; DNA-beräkning; Kretssimulering; Additionskretsar;

   Abstract : The behavior of the Deoxyribonucleic Acid (DNA) molecule can be exploited to perform useful computation. It can also be ”programmed” using the language of Chemical Reaction Networks (CRNs). One specialized CRN construct is the Surface Chemical Reaction Network (SCRN). READ MORE

3. 2. Parameter Inference for Stochastic Models of Gene Expression in Eukaryotic Cells

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Ansar Siddiqui; [2023]
   Keywords : ;

   Abstract : Simulation models are often used to study a system or phenomenon. However, before a simulation model can be used, its parameter needs to be fit to mimic observed data. This is called the parameter inference problem. READ MORE

4. 3. A Bayesian Bee Colony Algorithm for Hyperparameter Tuning of Stochastic SNNs : A design, development, and proposal of a stochastic spiking neural network and associated tuner

   University essay from Uppsala universitet/Signaler och system

   Author : Oskar Falkeström; [2023]
   Keywords : edge computing; edge user allocation; constraint satisfaction problem; bin packing problem; spiking neural networks; SNN; stochastic spiking neural networks; neuromorphic computing; hyperparameter tuning; swarm intellience; artificial bee colony algorithm; tree-structured Parzen estimator; stochastic optimization; Bayesian optimization.;

   Abstract : With the world experiencing a rapid increase in the number of cloud devices, continuing to ensure high-quality connections requires a reimagining of cloud. One proponent, edge computing, consists of many distributed and close-to-consumer edge servers that are hired by the service providers. READ MORE

5. 4. Introducing GA-SSNN: A Method for Optimizing Stochastic Spiking Neural Networks : Scaling the Edge User Allocation Constraint Satisfaction Problem with Enhanced Energy and Time Efficiency

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Nathan Allard; [2023]
   Keywords : ;

   Abstract : As progress within Von Neumann-based computer architecture is being limited by the physical limits of transistor size, neuromorphic comuting has emerged as a promising area of research. Neuromorphic hardware tends to be substantially more power efficient by imitating the aspects of computations in networks of neurons in the brain. READ MORE

6. 5. Scalable Reinforcement Learning for Formation Control with Collision Avoidance : Localized policy gradient algorithm with continuous state and action space

   University essay from KTH/Skolan för teknikvetenskap (SCI); KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Andreu Matoses Gimenez; [2023]
   Keywords : Control theory; Multi-agent systems; Distributed systems; Formation control; Collision avoidance; Reinforcement learning; Teoria de control; Sistemes multiagent; Sistemes distribuïts; Control de formació; Prevenció de col·lisions; Reinforcement Learning; Reglerteknik; Multi-agent system; Distribuerade system; formationskontroll; Kollisionsundvikande; Reinforcement learning; Teoría de control; Sistemas multiagente; Sistemas distribuidos; Control de formación; Prevención de colisiones; Reinforcement Learning;

   Abstract : In the last decades, significant theoretical advances have been made on the field of distributed mulit-agent control theory. One of the most common systems that can be modelled as multi-agent systems are the so called formation control problems, in which a network of mobile agents is controlled to move towards a desired final formation. READ MORE