Generative Adversarial Networks continues to be one of the main deep learning techniques in current computer vision with machine learning developments. But they have been shown to have some issues regarding the quality of images it outputs from a generator's map input space. This may have some causal explanation with the way GANs process of … Continue reading Paper with Code Series: Adversarial Latent Autoencoders
Quantum reasoning and the formalism of Lie Algebras are fascinating topics in Quantum Mechanics. By quantum reasoning we are referring to the way the human brain constructs its thoughts and cognitions in an ordered fashion, that is, in the way mathematical psychology has researched the implication of quantum reality on the brain cognitive processes. Quantum … Continue reading Quantum Reasoning, human cognition and Artificial Intelligence
Human social intelligence is one of the hallmarks of how we judge general intelligence. It can be quite hard to grasp and appreciate fully. Even harder is to know where, how and why it is important for many social outcomes for many of us. Underlying the basis of human social intelligence is what standard developmental … Continue reading Inverse planning and Theory of Mind: understanding behavior in groups of agents
This is a re-sharing from the excellent weekly newsletter I receive from the Import AI blog written by Jack Clark. There are several other re-posts such as this one in this blog, and I usually decide for it when I see and feel it that the choices of papers or relevant articles, resources and … Continue reading From the Import AI blog: a Vision-Based High Speed Driving with a Deep Dynamic Observer or how Self-driving cars will drive off-roads
Generative adversarial networks (GANs) are one of the most important milestones in the field of artificial neural networks. Out of trying to improve the training and efficiency of deep convolutional neural networks used in some challenging computer vision tasks, emerged this technique which has become state-of-the-art for neural networks in general. But there are still … Continue reading Papers with Code series: GAN dissection or visualizing and understanding Generative Adversarial Networks
This last summer I started joyfully to watch and apprehend as much as possible about the lectures on Deep Reinforcement Learning delivered by Dr. Sergey Levine at the University of Berkeley California. The list of lectures is available at YouTube, but the from the fall of last year 2017. The lectures usually feature some … Continue reading Deep Reinforcement Learning class at Berkeley by Sergey Levine – Lecture 16 Bootstrap DQN and Transfer Learning
The Massachusetts Institute of Technology (MIT) has been given a series of lectures titled MIT 6.S099: Artificial General Intelligence. It is part of the syllabus of a course on Artificial General Intelligence and Deep Learning delivered by Lex Fridman. It featured a series of conversations with some prominent researchers in the fields of machine learning, … Continue reading A conversation on AI from MIT Artificial General Intelligence Lectures
The two fields of Machine Learning and Quantum Computing are the most important ones for today's computer science in general. A new field of study is actually emerging with the appropriate name of Quantum Machine Learning. The important sub-field of Reinforcement Learning is also being used by researchers in Quantum Computing and today's paper … Continue reading Papers with Code series: Reinforcement Learning Decoders for Fault-Tolerant Quantum Computation
Two Minute Papers is a YouTube and Patreon channel, a website, a good repository of some of the latest developments in artificial intelligence and machine/deep learning. It is hosted by a researcher in the field, and given his background most of the content is about computer vision, computer graphics and the applications of these … Continue reading Brain-to-Brain online communication: a reality soon…?
Hello. I am starting today a new series of posts here in The Intelligence of Information. I know there is this hiatus of several months without posting here in this blog. I may have said the reasons for this, so I will skip ahead. Just to remind: this still is a work in progress blog, … Continue reading Papers with Code Series: Self-Attention Generative Adversarial Networks
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