Data scientists are at the forefront of this preparatory phase, meticulously gathering, cleaning, and curating datasets to ...

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 ...

In the rapidly evolving digital era, the pharmaceutical industry faces significant cybersecurity challenges, where data ...

The mineralization at the QR deposit is hosted by variably propylitic up to epidote-skarn-altered equivalents of a host ...

AI-enabled ECG biological age (ECG-BA) improves disease risk classification beyond chronological age, enhancing early ...

To develop a machine learning (ML) algorithm to predict survival probabilities for patients with epithelial ovarian cancer (EOC).Data were obtained from the SEER database for women diagnosed with EOC ...

Uniswap's Unichain is a new Ethereum Layer 2 designed to lower fees, speed up transactions, and enhance DeFi trading. Learn ...

From scenario-based risk assessments to leveraging AI, security leaders share advice on squeezing more value out of your ...

To examine whether or not Ozak AI has the ability to emerge as the following market chief, it is crucial to compare its services and potentialities with installed structures like XRP, Chainlink, and ...

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

Decentralized data enhances AI by ensuring security, transparency, and scalability beyond centralized systems.