Intelligent Machine Learning: Tailor-Making Macromolecules

Machine Learning for Intelligent Agents

Towards Intelligent Machine Learning Algorithms

Machine Learning for Intelligent Systems

Recent research in machine learning has focused on supervised induction for simple classification and reinforcement learning for simple reactive behaviors. In the process, the field has become disconnected from AI’s original goal of creating complete intelligent agents. In this paper, I review recent work on machine learning for planning, language, vision, and other topics that runs counter to ...

Making machine learning models interpretable

Data of different levels of complexity and of ever growing diversity of characteristics are the raw materials that machine learning practitioners try to model using their wide palette of methods and tools. The obtained models are meant to be a synthetic representation of the available, observed data that captures some of their intrinsic regularities or patterns. Therefore, the use of machine le...

Intelligent storage system with machine learning

Storage system is the key component in big data. As data size grows, we need to scale storage system efficiently. Majority of today’s storage devices present a simple linear block address space to the operating system. This simplistic addressing scheme treats each block address as a generic bucket of opaque data. While this architecture allows the operating system to easily abstract the stored ...