Power Models for Machine Learning
Predicting the power or energy required to run an AI/ML algorithm is a complex task that requires accurate power models, none of which exist today. (more…)
Read more »The Best Machine Learning, NLP, and Python Tutorials I’ve Found
While machine learning has a rich history dating back to 1959, the field is evolving at an unprecedented rate. In a recent article, I… Read more
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Molecular Dynamics Simulation Based on Machine Learning Wins Gordon Bell Prize
The 2020 Association for Computing Machinery (ACM) Gordon Bell Prize was given to a team of researchers from institutions in the USA and China for their project titled: "Pushing the limit of molecular dynamics with ab initio accuracy to 100 million atoms ... (more…)
Read more »Anomaly Detection of Time Series Data Using Machine Learning and Deep Learning
Time Series is defined as a set of observations taken at a particular period of time. For example, having a set of login details at regular interval of time of each user can be categorized as a time… (more…)
Read more »Tracking the Performance of Your Machine Learning Models with MLflow
In our Delivering Your Marketplace’s Orders in Time with Machine Learning entry we talked about how important it is to track the results of Machine Learning experiments and pipelines. There are lots of parts that are constantly being tweaked and need to b... (more…)
Read more »Using News Media to Construct a Machine Learning Based Damage Mapping Framework
When flooding occurs, Synthetic Aperture Radar (SAR) imagery is often used to identify flood extent and the affected buildings for two reasons: (i) for early disaster response, such as rescue operations, and (ii) for flood risk analysis. Furthermore, the ... (more…)
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