Augmented Reality Climbing Wall - Full Video

Had an interesting chat with an AI today

Strange Beast, una especie de mini capítulo de “Black Mirror” sobre el futuro inmediato y el tema de mezclar realidad con realidad virtual/aumentada.

Se pueden activar subtítulos.

Adversarial Examples that Fool Detectors

Computer Vision research from Jiajun Lu, Hussein Sibai and Evan Fabry examines blocking neural network object detection using what appears to look like DeepDream-esque camouflage:

An adversarial example is an example that has been adjusted to produce a wrong label when presented to a system at test time. To date, adversarial example constructions have been demonstrated for classifiers, but not for detectors. If adversarial examples that could fool a detector exist, they could be used to (for example) maliciously create security hazards on roads populated with smart vehicles. In this paper, we demonstrate a construction that successfully fools two standard detectors, Faster RCNN and YOLO. The existence of such examples is surprising, as attacking a classifier is very different from attacking a detector, and that the structure of detectors - which must search for their own bounding box, and which cannot estimate that box very accurately - makes it quite likely that adversarial patterns are strongly disrupted. We show that our construction produces adversarial examples that generalize well across sequences digitally, even though large perturbations are needed. We also show that our construction yields physical objects that are adversarial. 

The paper can be found here

More Guns!

We worked on adding even more to the guns game! Here you can see guns stats displaying on UI, gun animations, and below, you can see enemies using some basic state engine based AI to hunt down and track the player!

继续阅读

Researchers make a breakthrough toward the next generation of memory devices

A*STAR and NTU researchers have created a thin film material that allows them to control the size and density of magnetic skyrmions. In addition, they have also achieved electrical detection of these skyrmions. The fabrication process for these films is compatible with current industrial methods. This discovery is a breakthrough and is a key step towards the creation of a skyrmion-based memory device, which is one of the promising contenders for the next generation of memory technologies.

The discovery has been recently published in Nature Materials.

Skyrmions are small particle-like magnetic structures about 400 times smaller than a red blood cell. They can be created in magnetic materials, and their stability at small sizes makes them ideal candidates for memory devices. Since the discovery of room temperature skyrmions in 2015, there has been a global race to create a skyrmion memory device because such a device could potentially hold more information, while using less power.

The need for more memory

Increasingly large amounts of data are created daily in our rapidly digitalised world. Moreover, cutting-edge technologies such as the Internet of Things (IOT), edge computing, and Artificial Intelligence (AI) require immediate processing of this data for effective performance. This requires the development of memory devices with increasingly higher capacities.

Read more.

Skateboarding Visualizations v1

Project from Convivial Studios and Pier 9 attach sensors to skateboards to capture movement data to create 3D printed sculptures:

The hidden science and art underlying skateboard tricks is a source of fascination. We created motion tracking device to get data about the skateboard position during the execution of tricks. The data and trails of the tricks are then used to create sculptures and immortalize the motion of the skateboard and the style of the individual skateboarder. Amongst the possible applications for this project, this work focused on creating artistic visualizations from skateboard tricks.

More info including links to tutorials can be found here

Virtual Genetic Code

IT’S OUT!!!