TechCrunch founder, Michael Arrington, has justpublished a poston his new blogUncrunchedexplaining his plans for the new site. Many assumed Arrington’s primary focus would be his new fund,Crunchfund, and Uncrunched would merely store and share random thoughts – apparently not the case: “I’m going to do the same thing I’ve been doing since 2005. I’m going to write about startups, and the people who build them, and the people who fund them, and the people who use them....

Neuroscientists at Columbia Universityobserved a curious thing. When they asked a group of test subjects to concentrate on a painting of an angel wielding a sword, they found it triggered responses in the subjects’ wrists. Others have reported the sensation of dancing when observing Degas’ Ballerinas. This is due to a process called embodied cognition. When we view a piece of art, our brain mirrors actions depicted on the canvas....

Can auditing eliminate bias from algorithms? What is algorithmic auditing — how does it work? Good question — it’s a pretty undefined field. Generally, audits proceed a few different ways: by looking at an algorithm’s code and the data from its results, or by viewing an algorithm’s potential effects through interviews and workshops with employees. Audits with access to an algorithm’s code allow reviewers to assess whether the algorithm’s training data is biased and create hypothetical scenarios to test effects on different populations....

Americans are using Internet and TV together more and more, according to a recentstudy. The same “second screen” phenomenon is happening in Latin America: TV viewers live-comment the shows they are watching. Here is how newly launched startupComenta.TVplans to tap into this new segment. What is Comenta.TV Launched only a couple weeks ago, Comenta.TV is a web platform that aggregates and organizes in real time all comments made on social networks around live Argentine TV programs, thanks to a tailored algorithm....

Can deepfake detectors keep up with advances in AI-generated video? The problem with deepfakes Most people know that you can’t believe everything you see. Over the last couple of decades, savvy news consumers have gotten used to seeing images manipulated with photo-editing software. Videos, though, are another story. Hollywood directors can spend millions of dollars on special effects to make up a realistic scene. But using deepfakes, amateurs with a few thousand dollars of computer equipment and a few weeks to spend could make something almost as true to life....