Show HN: Put this touch sensor on a robot and learn super precise tasks

We just released a very excited touch sensor that finally simplifies touch sensing for robotics.

Our most exciting result: Learned visuotactile policies for precise tasks like inserting USBs and credit card swiping, that work out-of-the-box when you replace skins! To the best of our knowledge, this has never been shown before with any existing tactile sensor.

Why is this important? For the first time, you could now collect data and train models on one sensor and expect them to generalize

6mo | Hacker news
Show HN: Inngest 1.0 – Open-source durable workflows on every platform

Hi HN! I’m Tony, one of the co-founders of Inngest (https://inngest.com/)

Inngest is an open-source durable workflow platform that works on any cloud. Durable workflows are stateful, long running step functions written in code, which automatically retry on failure. It abstracts everything about queues, event streams and state for you, letting you focus on code. Some examples of uses: managing stateful AI chained step functions; managi

6mo | Hacker news
Show HN: Open-source text classification CLI – train models with no labeled data

aiq lets you use a single CLI command to auto-label text data with a language model API & train an efficient classifier on the labels. Training and inference are super fast (both run on CPU).


Comments URL: https://news.ycombinator.com/item?id=41604840

Points: 57

# Comments: 2

https://github.com/taylorai/aiq

6mo | Hacker news

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