Tag: Reddit

submitted by /u/MetaKnowing [link] [comments]

Which AI applications or projects do you think could bring about real change but are currently flying under the radar? Interested in learning about the impactful, less-publicized sides of AI. submitted by /u/createbytes [link] [comments]

While virtually everyone agrees self driving will save lives due to elimination of drunk driving, road rage, and human added factors that can injure or kill others. There is no government at this time working on a test that self driving cars need to pass to legally drive on the road. Note I'm focusing on level 5 full automation. Feel free to share this around, but this is what I came up with. ________________________________________ As mentioned, we are going to focus purely on conditions where the user can't control the car or isn't expected to control the car. This being even if there is a wheel in place or not. We are talking about level 5. Because we are talking about a car that can fully drive itself. If there is no method for the user to take over the car in an emergency situation...

submitted by /u/MetaKnowing [link] [comments]

submitted by /u/creaturefeature16 [link] [comments]

submitted by /u/Sunrise1927 [link] [comments]

submitted by /u/TheMuseumOfScience [link] [comments]

I’m blown away by what AI can already accomplish for the benefit of users. But have we even scratched the surface? When between jobs, I used to think about technology that would answer all of the interviewers questions (in text form) with very little delay, so that I could provide optimal responses. What do you think of this, which takes things several steps beyond? submitted by /u/ReallyKirk [link] [comments]

submitted by /u/MetaKnowing [link] [comments]

There is still a lingering belief from classical machine learning that bigger models overfit and thus don't generalize well. This is described by the bias-variance trade-off, but this no longer holds in the new age of machine learning. This is empirically shown by phenomena like double descent, where higher-complexity models perform better than lower-complexity ones. The reason why this happens remains counterintuitive for most people, so I aim to address it here: Capacity Theory: The theory states that when models are much larger than their training data, they have extra capacity not just for memorizing but also for exploring different structures. They can find more generalizable structures that are simpler than those required for memorization. Due to regularization, the model favors the...