Researchers at the University of California, Santa Cruz have trained lab-grown brain organoids to solve a goal-directed task, ...

High school students gain PhD-led mentorship, publish original research, and build real-world AI models through ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

The small and complicated features of TSVs give rise to different defect types. Defects can form during any of the TSV ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

Quiq reports on the role of automation in customer service, highlighting tools like AI for questions, ticket classification, ...

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...

OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...