Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

As AI tools evolve at a rapid pace, smaller, more flexible learning environments are well-positioned to test new approaches, develop expectations, and adjust as needed.

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...

Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...

A recent study suggests that a freely available AI tool could help predict dangerous complications after stem cell transplants.

Integrating deep learning with traditional forecasting techniques can improve early warning systems by capitalizing on each ...