We each have a way of moving to music that is so unique a computer can use it to identify us.
- The way we dance to music is so signature to an individual that a computer can now identify us by our unique dancing "fingerprint" with over 90 percent accuracy.
- The AI had a harder time identifying dancers who were trying to dance to metal and jazz music.
- Researchers say they are interested in what the results of this study reveal about human response to music, rather than potential surveillance uses.
To solve the problem of negative digital disruption, technologies of the future must overcome the inequalities of today.
- The intention of the internet was not to threaten democracy, but it's becoming clear that's exactly what it's doing.
- To fix this problem, we must broaden the scope — politically, socially, and culturally — of who has power and governance over our digital technologies.
- The most vulnerable communities should be involved in a solution that can coexist with Silicon Valley.
Beyond the Valley: How Innovators around the World are Overcoming Inequality and Creating the Technologies of Tomorrow (The MIT Press)
Empathy is what allows us to understand works of art, right?
Almost all experts agree that coding will become nearly as ubiquitous as literacy in the future. But the nature of coding in the future may be very different.
- Coding is increasingly being taught in high schools, and it's become a desirable skill even outside of the tech industry.
- Experts argue that coding is becoming the new literacy; a skill so fundamental that everyone should possess it to some degree.
- However, the nature of coding in the future is likely to be wildly different than it is today.
Can you tell this video is fake?
- A new deepfake video shows Mark Zuckerberg saying words he never spoke.
- The video was likely created in an attempt to challenge Facebook's policies on fake content.
- Facebook was recently criticized for not removing a video of House Speaker Nancy Pelosi that was doctored to make it seem like she was drunk.