The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

Abstract: The forecasting of stock prices is considered to be one of most challenging problems in financial domain. Artificial Neural Networks (ANNs) are widely used for forecasting stock price ...

When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...

1 Image-guided Surgery, Surgical Department, Netherlands Cancer Institute - Antoni van Leeuwenhoek, Amsterdam, Netherlands 2 Department of Nanobiophysics, University of Twente, Enschede, Netherlands ...

Understand the Maths behind Backpropagation in Neural Networks. In this video, we will derive the equations for the Back Propagation in Neural Networks. In this video, we are using using binary ...

Abstract: Energy management, for example in building smart grids, often leads to an optimization problem, continuous or combinatorial, such as a linear or quadratic program (LP/QP), depending on the ...

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...

Measurements at the Large Hadron Collider have been stymied by one of the most central phenomena of the quantum world. But now, a young researcher has championed a new method to solve the problem ...

Introduction: Chinese medicine formulas (CMF) are an important aspect of traditional Chinese medicine (TCM) and are formulated based on strict compatibility proportions guided by TCM theory. Due to ...

Traipse into the world of artificial intelligence research, and it won’t take long to stumble across a concept known as the “singularity.” A loan word from astrophysics describing the heart of a black ...