Researchers have developed light-transmitting hydrogel fibers that are just hundreds of micrometers in diameter. With further ...

Kharizmi helped solidify the concept of algorithms in mathematics and popularized algebra and the use of the zero.

Biological rhythms coordinate adaptive sensing and computation, spontaneously demonstrating concept drift detection abilities. We demonstrate that our oscillatory learning scheme, called rhythmic ...

One of the long-term goals of artificial intelligence (AI) is to build machines that can continually learn new knowledge from their experiences, ground these experiences in the physical world, and ...

Abstract: Concept-cognitive learning (CCL) is the process of enabling machines to simulate the concept learning of the human brain. Existing CCL models focus on formal context while neglecting the ...

Understanding key machine learning algorithms is crucial for solving real-world data problems effectively. Data scientists should master both supervised and unsupervised learning algorithms for ...

Concept-Cognitive Learning (CCL) is an effective concept learning approach that simulates human cognitive processes to facilitate knowledge discovery. However, existing CCL methods face two ...

POTOMAC, Md., Aug. 4, 2025 /PRNewswire/ — Z Advanced Computing, Inc. (ZAC), the pioneer Cognitive Explainable-AI (Artificial Intelligence) (Cognitive XAI or CXAI) software startup, has been recognized ...

Background/aims The antiseizure medication, vigabatrin, is associated with visual field loss (VAVFL). However, the fields can be challenging to interpret due to unfamiliarity with the characteristics ...

Google’s Search Quality Rater Guidelines were updated a few months ago, and several of the changes closely track the talking points shared by Googlers at the 2025 Search Central Live events. Among the ...

Machine Learning models learn by recognizing patterns from data—but what exactly are they learning? The answer lies in Concept Learning, one of the fundamental ideas in ML. What is Concept Learning?

Abstract: Machine learning algorithms that assist in decision-making are becoming crucial in several areas, such as healthcare, finance, marketing, etc. Algorithms exposed to a larger and more ...