Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...

Abstract: Despite the advancements of autonomous systems from decades of engineering, there is always the need to make them even more efficient and reliable. Machine learning holds great potential to ...

Adaptive testing in integrated circuits (ICs) has emerged as an innovative strategy to optimise and streamline the evaluation of increasingly complex semiconductor devices. By incorporating machine ...

Gastrointestinal-focused CRO Alimentiv is upgrading its clinical trials with software firm PhaseV’s adaptive trial technology. In a new collaboration, Alimentiv will combine PhaseV's machine learning ...

Adaptive algorithms have immensely advanced, becoming integral for innovation across multiple industries. These intelligent systems adjust content and strategies to improve the experiences of users by ...

The onset of the pandemic has given rise to adaptive learning, a concept that’s reshaping the classroom and improving education. Adaptive learning involves using a personalized, tech-based teaching ...

At the center of this transformation is Anusha Joodala, a seasoned data engineer and EdTech innovator who has spent years ...

Scientists studied the adaptive immune system as a kind of artificial intelligence that can be trained to produce the correct response to invasion by pathogens. This work may lead to more effective ...

As global participation in digital-asset ecosystems expands and blockchain behaviour becomes increasingly complex, platforms ...