Google and Gmail: Machine Learning for Defense, Not Disruption
How Google is using Machine Learning to keep Gmail (and other core products) ahead of the rest.
Submissions
Smarter Cities: How Machine Learning can Improve Municipal Services in Chicago
While machine learning is typically discussed in the context of major technology companies, city governments, institutions rarely thought of as innovators have begun to use machine learning to better understand the data they collect and use those insights to improve their processes.
Can machines replace lawyers?
With industry experts claiming that AI is a game-changer in the legal industry, what are law firms doing to take advantage of faster document processing provided by machine learning softwares?
Does Additive Manufacturing Pose a Threat to Gun Control?
The rise of Additive Manufacturing has been lauded as the next industrial revolution for the many efficiencies that it delivers over traditional manufacturing processes. However, increased access to and sophistication of AM technology also presents potential dangers, including interference with the ability of the ATF to regulate the production and distribution of firearms.
Bumble: Is Machine Learning the Future of Online Matchmaking?
Bumble: can online-dating apps use machine learning to substantially increase its ability to accurately matchmake and create values for its users?
Grupo Aval: Utilizing open innovation to build a new business model
Grupo Aval, the largest financial group of Colombia, is using open innovation to counter emerging fintech competition.
A Use Case for Machine Learning: How Facebook Uses Machine Learning to Combat Fake News
This paper will focus on Facebook’s use of machine learning to manage political content on its site. Today, with platforms like Facebook, content is being generated by a wider range of sources, which has eroded the credibility of the political information on Facebook. Recently, we have seen this occur with the proliferation of “fake news”, specifically falsified political information. This development has significant implications for Facebook and risks alienating its user based which can impact its bottom line and user base. It is Facebook’s mission to create a constructive community that brings people together to create positive experiences. False news is “harmful to [their] community” and “makes the world less informed” which inherently “erodes trust” with its users. In this context, using machine learning and other statistical tools to identify inaccurate and manipulated information is paramount to Facebook’s efforts to combat the spread of such information.
Returns – Climbing out of the e-commerce landfill.
The intersection of big-box retailers and saving the planet – Optoro uses machine learning to optimize return logistics both for organizations' bottom line and the environment.
Printing the Tip of the Spear: Additive Manufacturing at the U.S Military’s Battlefront
Getting repair parts to sailors at sea and soldiers at the front lines of combat is a logistical nightmare. The U.S. Military thinks Additive Manufacturing technology can help.
Can an algorithm replace “the pill”?
Natural Cycles is a leader in the innovative field of digital contraceptives and fertility tracking devices, but can its success be sustained after news of unexpected pregnancies among users?