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Blog – Page 746

Live coverage as the Polaris Dawn crew attempt the world’s first commercial spacewalk from the SpaceX Dragon capsule Resilience. The spacewalk is scheduled to begin at 5:58 a.m. EDT (0858 UTC) but the time is subject to change.

Aboard Resilience are mission commander, Jared Isaacman, retired U.S. Air Force pilot, Scott “Kidd” Poteet, and two SpaceX Lead Space Operations Engineers, Anna Menon and Sarah Gillis. Isaacman and Gillis will take turns emerging from the Dragon’s hatch while Poteet and Menon remain inside. The entire spacecraft will be depressurised for the Extravehicular Activity (EVA).

In addition to performing the spacewalk the crew have already flown further from Earth than anyone since the Apollo era.

Commentary will be provided by Will Robinson-Smith.

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Game Developer jourverse, who is currently working on a tutorial series focused on building a traffic system in Unreal Engine 5, shared a demo project file for this procedural road network integrated with vehicle AI for obstacle avoidance, using A* for pathfinding.

The developer explained that both the A* algorithm and the road editor mode are implemented in C++, with no use of neural networks. Vehicle AI operations like spline following, reversing, and performing 3-point turns are handled through Blueprints. The vehicle AI navigates using two paths: the green spline for the main route and the blue spline for obstacle avoidance. The main spline leverages road network nodes to determine the path to the target via A* on FPathNode, which includes adjacent road nodes.

For obstacle detection, the vehicle employs polynomial regression to predict its future position. Upon detecting an obstacle, a grid of sphere traces is generated to map the obstacle’s location, and another A* algorithm is employed to create a path around the obstacle.

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Researchers at SWC have mapped how the brain transforms sensations into action.

Read the story: https://sainsburywellcome.org/web/research-news/brain-wide-d…discovered.

Full paper in https://nature.com/articles/s41586-024-07908-w.

This study explores how the brain connects…

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Most atoms are made from positively charged protons, neutral neutrons and negatively charged electrons. Positronium is an exotic atom composed of a single negative electron and a positively charged antimatter positron. It is naturally very short-lived, but researchers including those from the University of Tokyo successfully cooled and slowed down samples of positronium using carefully tuned lasers.

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In an exciting development for quantum computing, researchers from the University of Chicago’s Department of Computer Science, Pritzker School of Molecular Engineering, and Argonne National Laboratory have introduced a classical algorithm that simulates Gaussian boson sampling (GBS) experiments.

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Yet, the current flow along these topologically protected, one-dimensional edges has proven to be far from robust. With the QAHE breaking down in magnetically doped topological insulators at temperatures higher than 1 Kelvin, well below the temperatures predicted by theory.

A new class of materials, known as intrinsic magnetic topological insulators (MTIs), for example MnBi2Te4, possess both non-trivial topology and intrinsic magnetism and are predicted to offer more robust QAHE at higher temperatures than magnetically doped topological insulators.

In MnBi2Te4 it has been shown that the QAHE can survive up to 1.4 K, and interestingly, this can rise to 6.5 K with the application of stabilizing magnetic fields, providing hints at the mechanisms that are driving the breakdown of topological protection.

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