Calculating and visualizing a realistic trajectory of ink spreading through water has been a longstanding and enormous challenge for computer graphics and physics researchers.This article is brought to you by this site.
In 1965, Gordon Moore defined a relationship between cadence and cost for computing innovation that came to be known as “Moore’s Law.” This rule both described and inspired the exponential growth that built the Information […]
How good is the public transportation from your home address? For an objective perspective, you can check the interactive “Mobility Maps” for Germany that are freely available online.This article is brought to you by this […]
Researchers have developed a new AI algorithm, called Torque Clustering, that is much closer to natural intelligence than current methods. It significantly improves how AI systems learn and uncover patterns in data independently, without human […]
Storing data in the cloud is now routine for people and companies alike, but cybersecurity risks still exist, particularly in handling user authentication and access control securely. Researchers are developing novel methods to store data […]
In 1981, American physicist and Nobel Laureate, Richard Feynman, gave a lecture at the Massachusetts Institute of Technology (MIT) near Boston, in which he outlined a revolutionary idea. Feynman suggested that the strange physics of […]
Facial emotion recognition could have broad applications across health care, education, marketing, transportation, and entertainment. It might be used to help monitor patients remotely or in overstretched hospitals or emergency response settings, or patients unable […]
How much energy is consumed each time we upload an image to social media, which relies on data centers and cloud storage? Data centers currently account for about 1% of global energy consumption, amounting to […]
Over the past decades, computer scientists have created increasingly advanced artificial intelligence (AI) models, some of which can perform similarly to humans on specific tasks. The extent to which these models truly “think” and analyze […]
A particular set of probabilistic inference algorithms common in robotics involve Sequential Monte Carlo methods, also known as “particle filtering,” which approximates using repeated random sampling. (“Particle,” in this context, refers to individual samples.) Traditional […]
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