In a world increasingly shaped by artificial intelligence, the question of how machines make decisions under uncertain conditions grows more urgent every day.This post was originally published on this website.
Tabular data is at the heart of scientific analysis—whether in medicine, the social sciences, or even archaeology. Making it comprehensible and usable is often a tedious task, especially when the data is extensive or complex. […]
A research team from the Ningbo Institute of Materials Technology and Engineering (NIMTE) of the Chinese Academy of Sciences has developed a new method to enhance the efficiency of dynamics modeling for industrial robots, tackling […]
Organizing data in a specific order, also known as sorting, is a central computing operation performed by a wide range of systems. Conventional hardware systems rely on separate components to store and sort data, which […]
Artificial intelligence chatbots are everywhere these days, from smartphone apps and customer service portals to online search engines. But what happens when these handy tools overestimate their own abilities?This post was originally published on this […]
A study from EPFL reveals why humans excel at recognizing objects from fragments while AI struggles, highlighting the critical role of contour integration in human vision.This post was originally published on this website.
AI image generation—which relies on neural networks to create new images from a variety of inputs, including text prompts—is projected to become a billion-dollar industry by the end of this decade. Even with today’s technology, […]
What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, researcher Jan van Rijn is contributing to open science, aiming to make machine learning […]
Complex tubes with flanges, joints and other components, characterized by a large number of diverse shapes and complex structures, are key parts of aircraft engines, rockets and other equipment. In order to ensure the smooth […]
As large language models (LLMs) like ChatGPT continue to advance, user expectations of them keep growing, including with respect to how quickly they can respond to our increasingly intricate prompts requesting answers to ever-challenging problems […]
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