Catalyst design plays a crucial role in numerous chemical processes, significantly impacting efficiency and sustainability. Although traditional catalyst development is often time-consuming and labor-intensive, the embedding of Artificial Intelligence (AI) into catalyst design has initiated a transformative era in catalysis, providing unprecedented opportunities to accelerate the discovery, optimization, and application of novel catalysts.
Sport data analytics has revolutionized the way we understand and engage with sport. By leveraging vast amounts of data, advanced algorithms, and cutting-edge technology, sport analytics provides insights that were previously unimaginable. This commentary delves into the technological advancements, applications, business aspects, ethical concerns, and future trends in sport data analytics.
This paper presents our solution to the cartoon photo face recognition competition of the CCF Big Data & Computing Intelligence Contest (CCF BDCI) training track, focusing on symmetry in AI-enhanced recognition. Our approach utilizes a robust baseline of person re-identification, improved by integrating symmetrical data processing techniques.
Today's Connected Autonomous Vehicles (CAVs) and collaborative robots are considered smart things because they are networked and have the ability to send and receive data over the network. Moreover, due to Software Defined Vehicle (SDV), which originated with Tesla cars, one of the biggest challenges in the future of mobility is ensuring the security and reliability of the vehicles against cyber attacks [1].
In this short communication, we present a particular vision on deep learning from the point of view of the research perspective carried out by our group. The advantages and disadvantages of DL are briefly discussed, and a reflection on DL is carried out in comparison with a well-established machine learning technique, and taking the database size as reference.
Cardiovascular disease remains one of the leading causes of death globally. Despite significant progress in the diagnosis and treatment of heart disease, complex pathophysiological conditions such as heart failure and coronary artery disease still demand innovative solutions in diagnosis, treatment, and patient management.
Artificial Intelligence (AI) is transforming industries globally, and the legal sector is no exception. In Australia, the adoption of AI within the legal system presents both opportunities and challenges. This manuscript explores the potential applications of AI in the Australian legal context, including legal research, contract analysis, predictive analytics, and courtroom applications.
As robotics and Artificial Intelligence (AI) continue to evolve, the demand for more efficient and adaptable systems has become increasingly pressing. Traditional silicon-based processors, while powerful, struggle to manage the complexities and real-time tasks required in advanced robotics.
The TP63 gene located on chromosome 3q28 [1], encodes the tumor protein p63 (TP63 MIM*603273), belonging to the p53 transcription factor family [2], which is essential in the development of ectodermal structures comprising skin, sweat glands, hair, nails and teeth.
Weaning from mechanical ventilation in patients with artificial respiration is a complex process with a high impact on the patient's prognosis. Both its delay and its anticipation, and above all the failure in the process, have significant repercussions for the patient.
