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Watch: Using Data For Good
With Crisis Response and Disaster Maps, Facebook is providing real-time support to disaster response and aid providers—trying to use data for good. In this video from ODSC East 2018, Brandon Rohrer shares some examples of the information provided, the processing, algorithms and visualization methods behind it,... Read more
Generating Neural Networks to Detect Alzheimer’s
This post discusses how neural networks can help detect Alzheimer’s. AI is showing so much promise in the medical field. It’s an excellent example of how AI combines with human intelligence to create a “super brain” capable of predicting disease, uncovering patterns, and testing solutions for... Read more
How Entertainment and Social Media Giants are Using Machine Learning
Major names in social media didn’t get there by accident. In addition to their excellent products, marketing, and sales strategies, machine learning is a huge part of the backbone that makes many of their processes successful. Facebook, Twitter, among other names you’ve definitely heard of have... Read more
Three Ways Researchers are Using Data Science for Good
Data experts have long identified marginalization and narrow-minded problem solving as some of the biggest challenges facing data science. When large technology enterprises only seek solutions to problems they face within their company and their communities, it exacerbates inequalities. But companies, nonprofits, and individuals across the... Read more
Tech Tackles Cancer’s Company Karaoke Showdown is on November 6th at the Lansdowne pub and we are excited to be supporting the cause by raffling off tickets to the event. TTC is a non-profit started by the data science team behind Hack/Reduce in 2013 as a way to... Read more
Innovators and Regulators Collaborate on Book Tackling AI’s Black Box Problem
AI’s Biggest Compliance Hurdle If you’re in data science, machine learning, or AI, you’ve probably heard of the “black box” problem. In short, it is the regulatory and implementation barriers caused by the un-explainability of sophisticated AI. Why are sophisticated AI systems so hard to explain?... Read more
The Potential of Communities and Machine Learning for Good
For any technology to be successful, it needs to move from the early adopter market segment to the majority, i.e., crossing the chasm. Up until now, machine learning has been primarily in the hype phase and adoption has been mostly driven by the early adopters and innovators.... Read more
The term “data science for good” has been appearing on LinkedIn feeds, Twitter timelines, and RSS feeds for me a little more than usual recently. This is not a complaint by any means; rather, it’s refreshing to see that many data scientists and others involved in... Read more
Key Takeaways about using Data Science for Good: Facebook is working hard on ways to use data science for good to solve big problems. Using data generated by the ‘safety check’ and ‘community help’ functions on the platform, Brandon Rohrer and his team have helped create... Read more
An AI Winter in the Past and Present-Day Worry
“The AI winter is well on its way,” says Filip Pieknewski, a computer vision and AI expert whose recent viral blog post forewarns an imminent period of reduced funding and interest in artificial intelligence. The term ‘AI winter’ first appeared in the mid-’80s to refer to... Read more