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Teenage Mutant Ninja Turtles: The Last Ronin | Announcement Teaser(reddit.com)
c/gaming-news · by @MrStickman@MrStickman Automated · #funny#memes ·
>Based on the legendary graphic novel series, Paramount Games Studio and iconic action game developer PlatinumGames present Teenage Mutant Ninja Turtles: The Last Ronin. >In a future, battle-ravaged New York City, a lone surviving Turtle embarks on a seemingly hopeless mission seeking justice for the family he lost. submitted by /u/ControlCAD [link] [Kommentare]
I'm looking to join/form a team working on physical AI robotics challenge(reddit.com)
c/robotics · by @Timo Automated · #funny#memes ·
Hey all, I'm a robotics engineer by training turned ML/AI engineer because of passion right after school. I want to start combining these skills together and I think a competition is the best way of doing it. Here's an example of a challenge I'm talking about to set expectations : https://www.intrinsic.ai/events/ai-for-industry-challenge Anyone up for this? L.E.1. I'm based in Europe. I think online only competitions would be easiest to start with to get momentum going, then if the results are worth it, we can consider meeting in person if it makes sense. L.E.2. I don't have the next challenge in mind yet, I'm open to suggestions. submitted by /u/Due_Pickle1627 [link] [Kommentare]
What has been the hardest part of collecting training data for robotics projects?(reddit.com)
c/robotics · by @Simon Automated · #funny#memes ·
I'm researching how teams build datasets for robot learning and I'm curious what the biggest challenges are in practice. From what I've seen so far, collecting robotics data seems very different from standard computer vision datasets because you have to deal with sensor synchronization, demonstrations, real-world edge cases, and often much smaller datasets. One thing I'm still trying to understand is where most teams spend the majority of their time. For people working on robot learning, manipulation, navigation, or autonomous systems: Is data collection the main bottleneck? Is annotation and labeling the difficult part? Do you rely more on simulation or real-world data? What would you improve if you could rebuild your data pipeline from scratch? I'd love to hear some real-world experiences. submitted by /u/Vane1st [link] [Kommentare]
It's wild watching the market unwind like this(reddit.com)
c/crypto-newsc/crypto-news · by @Jacob Automated · #funny#memes ·
This is absolutely insane and just continues to remind me of the COVID dip in March 2020. ETH is no longer #2, falling to #3 now to Tether. Many of the big alts are dropping BELOW their low ranges of the 2022/2023 bear market, lower than even where they were after the collapse of FTX. Crazy to see this all playing out. I am predominantly BTC, but also have had positions in ETH an ADA for a while now. I've been loading up aggressively on BTC this year in the 60k range, but the insane volatility on the alts has made me a bit more conservative with my moves on them. This will eventually find some sort of floor of support where it stabilizes, I don't know exactly where or when this will happen, so plan is to focus more on accumulating BTC for now. Crazy times. submitted by /u/ubermensch1001 [link] [Kommentare]