Humans and certain animals appear to have an innate capacity to learn relationships between different objects or events in ...

The mathematics behind artificial intelligence (AI) and machine learning (ML) rely on linear algebra, calculus, probability, ...

Turing's 1950 paper didn't just pose the profound question, "Can machines think?". It ignited a quest to build AI technology ...

Using a novel deep learning approach, we evaluated the predictive power of the functional connectome during various states (resting state, movie-watching, and n-back) on episodic memory and working ...

Many studies have used single-cell RNA sequencing (scRNA-seq) to infer gene regulatory networks (GRNs), which are crucial for ...

The interplay between graph analytics and large language models (LLMs) represents a promising frontier for advancing ...

Feature by Walter Sun, Sean Kask, Jonathan von Rueden NORTHAMPTON, MA / ACCESS Newswire / February 12, 2025 / Artificial intelligence (AI) is accelerating at an astonishing pace, quickly moving from ...

BOSTON, MA, UNITED STATES, February 13, 2025 /EINPresswire / -- When Ruihua Liu founded Hill Research, the goal was clear: to revolutionize clinical trials using Generative AI. With a background in ...

reproduce the paper (Distilling the Knowledge in a Neural Network) on text classification using pytorch.

Tree structures have been widely used to model intelligent behavior, such as reasoning, problem-solving, and language ...

Many conventional computer architectures are ill-equipped to meet the computational demands of machine learning-based models. In recent years, some engineers have thus been trying to design ...

What do you wonder? By The Learning Network A new collection of graphs, maps and charts organized by topic and type from our “What’s Going On in This Graph?” feature. By The Learning ...