Tag Archives: AI

Astronomy has entered the era of big data, where astronomers find themselves inundated with information thanks to cutting-edge instruments and data-sharing techniques. Facilities like the Vera Rubin Observatory (VRO) are collecting about 20 terabytes (TB) of data on a daily basis. Others, like the Thirty-Meter Telescope (TMT), are expected to gather up to 90 TB once operational. As a result, ...

A false-color image of NGC 6334 from multiple telescopes. The area is believed to be a hotspot of furious star birth. Credit: S. Willis (CfA+ISU); ESA/Herschel; NASA/JPL-Caltech/ Spitzer; CTIO/NOAO/AURA/NSF Over over 50% of high mass stars reside in multiple star systems. But due to their complex orbital interactions, physicists have a difficult time understanding just how stable and long-lived these ...

As modern AI models become larger, lots of realistic training data are needed. A recent paper published on arXiv.org introduces Ditto (Digital twin of articulated objects), an implicit neural representation-based model that jointly predicts part-level geometry and kinematic articulation between the parts. Augmented reality application example. Image credit: OyundariZorigtbaatar via Wikimedia, CC-BY-SA-4.0 The main challenge is to establish correspondences between ...

Quantitative evaluations are vital for measuring progress in the field of robot manipulation. Therefore, a recent study on arXiv.org proposes a Rubik’s Cube manipulation benchmark. Rubik’s Cube. Image credit: Max Pixel, CC0 Public Domain In this task, each rotation requires the robot to position its end-effectors with sub-centimeter accuracy. As many such stations are required, errors in the robot’s estimate ...

Machine learning models typically need gigantic data sets and a lot of energy, whereas the brain consumes as much power as a single light bulb. Aalto’s new assistant professor uses neuroscience to make computer programs more efficient. Stéphane Deny started as a new assistant professor in the beginning of December. Image: Mikko Raskinen / Aalto University What do you research ...

No need for fancy cafes. For your next coffee and pancake order, all you need is a couple of robots – and USC Viterbi students to program them. Gone are the days when you need to measure out your pancake batter or spend far too long perfecting your pour-over method. Now, breakfast is served with a side of robot. USC ...

Road traffic accidents are a growing public health problem. Tracking the driving behavior in real-time and providing feedback on how a driver is behaving on the road is proposed to reduce risky behaviors. Machine learning holds potential of improving driving safety. Image credit: Pxhere, CC0 Public Domain A recent study published on arXiv.org proposes to classify the driving behavior into ...

A recent paper published on arXiv.org proposes a robotic hand with dexterous in-hand manipulation skills. Contact-rich movements like finger-gaiting, pivoting, and the exploitation of gravity are achieved without sensing, hand or object models, or machine learning. Robotic hand used in the study. Image credit: RBO TU Berlin (still image from the YouTube video) A highly compliant hand demonstrates skills which ...

A new method automatically describes, in natural language, what the individual components of a neural network do. Neural networks are sometimes called black boxes because, despite the fact that they can outperform humans on certain tasks, even the researchers who design them often don’t understand how or why they work so well. But if a neural network is used outside the lab, ...

Robotic technologies help to improve productivity and quality in the industry. For instance, robots can collaborate with humans in the transportation of objects. Human-robot collaboration is possible in various tasks, not just industrial. Image credit: Pxhere, CC0 Public Domain This task poses several challenges. Firstly, the robot should share the load with a human effectively. Also, rotations and translations must ...