Abstract: This article explores generative antenna design (GAD) and optimization using neural network (NN)-based deep learning (DL) methods. We first outline traditional antenna design and the ...

This repository hosts the official implementation of TxGNN, a model for identifying therapeutic opportunities for diseases with limited treatment options and minimal molecular understanding that ...

Abstract: This paper deals with the use of emerging deep learning techniques in future wireless communication networks. It will be shown that the data-driven approaches should not replace, but rather ...

Medicinal Chemistry, Research and Early Development, Respiratory and Immunology (R&I), BioPharmaceuticals R&D, AstraZeneca, Gothenburg 431 83, Sweden ...

Engineering researchers at the University of California, Los Angeles (UCLA) have developed an advanced three-dimensional (3D) image projection system capable of displaying 28 distinct depth layers ...

Harvard School of Engineering and Applied Sciences offers Fundamentals of TinyML as an introductory online course through its ...

The programme aims to equip professionals build production-grade AI capabilities across machine learning, deep learning, ...

IITM Pravartak and TimesPro have announced Batch 03 of the Advanced Certificate in Applied Artificial Intelligence & Deep Learning, a seven-month online programme covering areas such as TensorFlow, ...

Machine learning models narrow down solutions in synthesis, compounding, product design, and more.

Results Distribution Learning and De Novo Compound Generation Figure 1 shows a schematic representation of the generative deep-learning strategy that we used to design KOR ligands with antagonistic ...

Artificial intelligence (AI) is unlocking both opportunities and challenges for education, with teachers on the front line of ...

Read this latest guest blog by Dr Austė Kanapeckaitė, Dr Shazia C. Hyatt, Prof David Wagg and Prof Andrea Townsend-Nicholson ...