A canonical problem in computer science is to find the shortest route to every point in a network. A new approach beats the ...
Last year, we celebrated 50 years since the first papers on fluorescence correlation spectroscopy (FCS) were published. It ...
The focus on Indian knowledge systems in the UGC’s proposed mathematics curriculum is better suited to other disciplines such ...
After our decade-long relationship, I’m breaking up with Spotify. It’s nothing personal. It’s just that Spotify and I have grown up, but we haven’t grown together. Over the years, I’ve been tempted to ...
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Astronomy has a major data problem – simulating realistic images of the sky can help train algorithms
This article was originally published at The Conversation. The publication contributed the article to Space.com's Expert Voices: Op-Ed & Insights. Professional astronomers don’t make discoveries by ...
Godot navmesh pathfinding has a single pathfinding algorithm option which is AStar. The heuristic driven AStar algorithm makes it very fast, but the heuristic can also be misleading. This causes low ...
Predictive artificial intelligence (AI) hiring systems (AHSs) are used by employers every day to screen and shortlist job candidates. But while AI hiring systems promise time and cost savings for ...
Google's DeepMind research division claims its newest AI agent marks a significant step toward using the technology to tackle big problems in math and science. The system, known as AlphaEvolve, is ...
A new wave of “reasoning” systems from companies like OpenAI is producing incorrect information more often. Even the companies don’t know why. Credit...Erik Carter Supported by By Cade Metz and Karen ...
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