WORK Medical Technology Group LTD (Nasdaq: WOK) ('WORK Medical”, the 'Company” or 'we”), a supplier of medical devices in ...

A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...

Learn how recommendation algorithms, streaming recommendations, and social media algorithms use content recommendation ...

Speaking with popular AI content creators convinces me that “slop” isn’t just the internet rotting in real time, but the ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Customer churn remains a huge issue for telcos, but AI could be the key to changing that. Or, it could fail to live up to its ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Artificial intelligence has become both the weapon and the shield in today’s cyber battlefield. From self-learning malware to adaptive firewalls, AI is reshaping the balance of power between attackers ...

Abstract: Process scheduling is crucial in optimizing resource utilization and reducing waiting times in computer systems. The traditional multilevel feedback queue scheduling algorithm (MLFQ) divides ...

Objective: This study aimed to develop and evaluate a machine learning (ML)–based algorithm to predict whether an initial vancomycin dose falls within the therapeutic range of the 24-hour area under ...

Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning ...