How to Develop 1D Convolutional Neural Network Models for Human Activity Recognition

Human activity recognition is the problem of classifying sequences of accelerometer data recorded by specialized harnesses or smart phones into known well-defined movements. Classical approaches to the problem involve hand crafting features from the time series data based on fixed-sized windows and training machine learning…

How to Evaluate Machine Learning Algorithms for Human Activity Recognition

Human activity recognition is the problem of classifying sequences of accelerometer data recorded by specialized harnesses or smart phones into known well-defined movements. Classical approaches to the problem involve hand crafting features from the time series data based on fixed-sized windows and training machine learning…

How to Model Human Activity From Smartphone Data

Human activity recognition is the problem of classifying sequences of accelerometer data recorded by specialized harnesses or smart phones into known well-defined movements. It is a challenging problem given the large number of observations produced each second, the temporal nature of the observations, and the…

A Gentle Introduction to a Standard Human Activity Recognition Problem

Human activity recognition is the problem of classifying sequences of accelerometer data recorded by specialized harnesses or smart phones into known well-defined movements. It is a challenging problem given the large number of observations produced each second, the temporal nature of the observations, and the…

How Can Africa Prevent the Next Haemorrhagic Fever Crisis? Invest in Research and Development | PLOS Blogs Network

  By Dr. Jenniffer Mabuka In 2014, West Africa encountered its worst recorded outbreak of Ebola with over 11,000 reported deaths. The memory of this crisis hadn’t faded yet when Ebola reared its ugly head VISIT THE SOURCE ARTICLE How Can Africa Prevent the Next…

DeepMind – From Generative Models to Generative Agents – Koray Kavukcuoglu – YouTube

Recorded May 2nd, 2018 at ICLR2018Koray Kavukcuoglu is the Director of Research at DeepMind, where previously he was a research scientist and led the deep learning team. Before joining DeepMind, he was a research staff member at NEC Labs America in the machine learning department.

What Can Machine Learning Do? Workforce Implications – Prof. Erik Brynjolfsson – YouTube

Recorded April 30th, 2018 at ICLR 2018Erik Brynjolfsson is Director of the MIT Initiative on the Digital Economy, Professor at MIT Sloan School, and Research Associate at NBER. His research examines the effects of information technologies on business strategy, productivity and performance, digital commerce, and…

US Congress Artificial Intelligence Hearing – Hearing III

Recorded: April 18th, 2018 Witnesses: Gary Shapiro – President – Consumer Technology Association Jack Clark -Director, OpenAI Terah Lyons -Executive Director , Partnership for AI Ben Buchanan – Postdoctoral Fellow, Cyber Security Project, Science, Technology, and Public Policy Program, Belfer Center for Science and International…

US Congress Artificial Intelligence Hearing – Hearing II

Recorded: March 7th, 2018 Witnesses: Mr. John O. Everett, Ph.D. -Deputy Director, Information Innovation Office, DARPA Mr. Keith Nakasone – Deputy Assistant Commissioner, Information Technology Category Acquisition Management, U.S. General Services Administration Mr. James F. Kurose, Ph.D. – Assistant Director, Computer Science and Information Science…

US Congress Artificial Intelligence Hearing – Hearing I

Recorded: Feb 14th, 2018 “Over the next three months, the IT Subcommittee will hear from industry professionals as well as government stakeholders with the goal of working together to keep the United States the world leader in artificial intelligence technology,” said Chairman Hurd. Witnesses: Dr….