PinnedLukas MolzbergerinTowards Data ScienceAIKA: An event-driven neural network architectureEvent-Queues as an efficient way to process sparsely populated input data sets such as text efficiently.·5 min read·Feb 14, 2021----
Lukas MolzbergerEvent-Driven Programming vs. Differential AlgebraAre the event-driven programming paradigm and differential algebra two sides of the same coin?2 min read·Mar 25, 2022--2--2
Lukas MolzbergerinTowards Data ScienceCan the dynamic linking of neural activations bring us closer to strong AI?Most artificial neural networks ignore the spiking nature of biological neural networks to simplify the underlying model and enable…·10 min read·Jan 1, 2020--2--2
Lukas MolzbergerinTowards Data ScienceUsing Information Gain for the Unsupervised Training of Excitatory NeuronsLooking for a biologically more plausible way to train a neural network.·11 min read·Sep 23, 2019----
Lukas MolzbergerinTowards Data ScienceUsing Meta-Neurons to learn facts from a single training exampleWhen people see a new animal, meet a new person or visit a new place, they don’t need to repeat that experience thousands of times to…·10 min read·Aug 28, 2019--3--3
Lukas MolzbergerinTowards Data ScienceHow to efficiently propagate activations in a massive neural networkAn event-driven approach·5 min read·Aug 9, 2019----
Lukas MolzbergerinTowards Data ScienceOn adding negative recurrent synapses to a neural networkThe missing link in deep neural networks.·6 min read·Aug 3, 2019--1--1
Lukas MolzbergerinTowards Data ScienceOn integrating symbolic inference into deep neural networksWhat makes biological neural networks so superior to their technical counterparts? Is there anything we have overlooked so far?·6 min read·Dec 9, 2018----
