NeuroCortex.AI (research team @ Bengaluru)

We are a collaborative learning community without any teachers. We replaced teachers with senior students acting as mentors who directed new students along a learning roadmap made of online courses and research papers in Artificial Intelligence. - Researched and worked on more than 40 research papers to get an in-depth understanding of algorithms in AI spanning Machine Learning, Deep Learning and Reinforcement Learning algorithms as well as Reinforcement Learning Algorithms. - Machine Learning algorithms include K-Means clustering, K-Nearest Neighbors, Support Vector Machines, Random Forests, bagging and boosting. - Deep Learning algorithms that we worked on include Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Restricted Boltzmann Machines, Bayesian Networks, Hidden Markov Models, and Generative Adversarial Networks. - Reinforcement Learning algorithms such as Q-Learning and Temporal Difference Learning have also been covered along with their implementation. - Our research has also included the domains as Computer Vision, Robotics, Speech Recognition and Natural Language Processing. * Our objective from the start was general intelligence. Our research is geared towards AGI and 3rd generation Spiking Neural Networks. * Understanding latest SOTA’s to see how they are going towards AGI. * Researching on Quantum AI/Quantum Machine Learning to see how quantum computing will add an advantage and working on hybrid quantum classical neural networks. * Publishing research papers, articles, blogs on various research we do. Our previous work: https://medium.com/@rlcaigroup1 Our playlist on Road to AGI: https://www.youtube.com/@theagipodcast Feel free to reach out to us at: theagipodcast@gmail.com