Artificial Intelligence, AI in 2018 and beyond Or how machine learning is evolving into AI These are my opinions on where deep neural network and machine learning is headed in the larger fi...

2017: an year in review How we can raise again from the lowest lows in 2018 and later~ This year 2017 was a strange year. I tried to spend a great deal of time trying to understand what made thi...

Predictive neural networks for reinforcement learning By Lukasz Burzawa, Abhishek Chaurasia and Eugenio Culurciello We used predictive neural network like CortexNet to show that they can spee...

Learning and performing in the real world AKA Reinforcement Learning In order to interact with a complex environment, living entities need to produce a “correct” sequence of actions to achieve...

Deep Neural Network Capsules A recent paper on Capsules has many important insights for revolutionizing learning in Deep Neural Networks. Let us see why! Interesting characteristics of capsule...

Neural Networks Building Blocks Neural networks are made of smaller modules or building blocks, similarly to atoms in matter and logic gates in digital circuits. Once you know what the blocks are...

layout: post title: ‘Segmenting, localizing and counting object instances in an image’ — Segmenting, localizing and counting object instances in an image When we visually perceive the world, w...

Adversarial predictive networks By Lukasz Burzawa, Abhishek Chaurasia and Eugenio Culurciello We wanted to test the idea that predictive neural network like CortexNetwould benefit from simultane...

Memory, attention, sequences We have seen the rise and success of categorization neural networks. The next big step in neural network is to make sense of complex spatio-temporal data coming from...

layout: post title: ‘Can We Copy the Brain?’ — Can We Copy the Brain? A review of IEEE Spectrum Special Report: Can We Copy the Brain? The IEEE Spectrum this month has a story on syntheti...