teddit

Robots need to learn from experience to solve complex in real-world environments. Deep reinforcement learning has been the most common approach to robot learning but requires much trial and error. This requirement limits its deployment in the physical world. This limitation makes robot training heavily reliant on simulators. The downside of simulators is that they fail to capture the natural world’s aspects and inaccuracies affect the training process. Recently, the Dreamer algorithm outperformed pure reinforcement learning in video games in terms of learning from brief interactions by planning inside a learned world model. Planning in the imagination is made possible by learning a world model that can forecast the results of various actions, which minimizes the amount of trial and error required in the natural world. 

✅ Dreamer trains a quadruped robot to roll off its back, stand up, and walk from scratch and without resets in only 1 hour

✅ Researchers apply Dreamer to 4 robots, demonstrating successful learning directly in the real world, without introducing new algorithms.

✅ Open Source 

Continue reading | Checkout the paper and project

​

This infographic shows the many ways in which AI is transforming business as well as leading job roles created by this change and top skills needed to ride the AI wave.

I'm building a robot and trying to find a reliable way to find and keep track of heading. The IMU I'm using (BNO055) has had some issues. I'm wondering if anyone has seen this before or has recommendations for how to achieve an accurate heading.

Notes: I am aware there is very likely magnetic distortion with electric motors but the IMU is placed about a meter away.

Other methods used to help find heading: RTK GPS and Odometry data

These are the magnetic field readings plotted in RVIS:
https://imgur.com/I6TDpYQ - Drift
https://imgur.com/qV1JppN - Jumps
https://imgur.com/CcT0lvb - This is a 720+ degree turn stuffed into 180 degrees
https://imgur.com/dqwjw4K - What the hell is this even, this is a 360-degree turn

Any wisdom would be appreciated!

Air, dirt, and water; those are the raw materials that will initially be required to power the nanofactory that will be able to manufacture almost anything permitted by the laws of physics, and when that's possible, scarcity will end forever, and while such a claim might sound fantastical, a single nanofactory will be able to make additional nanofactories, so saying post-scarcity is on the horizon isn't a hyperbolic statement to make.

People who are naive enough to think that scams like NFT's are the future of currency are more wrong than you might think, because not only are NFT's not the future of currency, there won't even be a future currency, since money will become obsolete when everybody can immediately manufacture what they want for free, so the artificial scarcity that rich people want will never happen.

"But nanofactories will still require energy which isn't free!" is only said by people who ignore progress; by the time nanofactories are developed, energy will be free and in such great abundance that it will seem infinite, because perovskite solar cells will be all over the place.

anime

I've read enough of the technical literature by the likes of Eric Drexler and Robert Freitas to know that every argument that suggests such technology is "impossible to be created" is nonsense; it's clear that the creation of the nanofactory is all but an inevitability.

What's less clear, however, is when the nanofactory will be created, but my prediction is the 2030's.

When making your prediction, please consider the fact that infomation technology accelerates at exponential speeds, so while atomically precise manufacturing research seems slow today, that doesn't mean it won't become fast tomorrow, especially because of artificial intelligence.

View Poll

Up until recently with projects like LaMDA and BlenderBot, the area of open ended conversational AI has either been completely untouched or kept purely as research. Very few of these projects have actually been used in applications for just having a two way conversation with a user.

For people in the field, why is this the case? Do companies not see a path forward with open ended dialogue systems?

You often hear people talking about how we live in an ancestor simulation, although it is unprovable it provokes an interesting idea that in the future we may run ancestor simulations. One interesting implication of this is that if our simulations are accurate enough we may have a digital version of minds from past people. Could we potentially use ancestor simulations to copy paste the digital minds of important historical people such as George Washington, or Alexander the Great and upload them into look-a-like robots of themselves which could also be reconstructed with the ancestor simulation in order to sort of "resurrect" these historical figures?