The integration of artificial intelligence (AI) into drug discovery is revolutionizing pharmaceutical research by providing sophisticated tools for understanding and predicting complex biological ...

Researchers from Google Quantum AI report that their quantum processor, Willow, ran an algorithm for a quantum computer that ...

The hidden Markov model (HMM), a statistical model widely applied in machine learning, has proven effective in addressing various problems in ...

Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling ...

The recent paper studies algorithmic pricing through the lens of game theory, an interdisciplinary field at the border of ...

While artificial intelligence (AI)-powered screening has been validated for diabetic retinopathy, applying the technology to glaucoma has proved more challenging because glaucoma is not one disease. A ...

Researchers led by Prof. Alessandro Serretti at Kore University of Enna have identified a genetic inflammatory signature that defines specific depression subtypes and influences how patients respond ...

University of Haifa researcher says her team's AI model spots biomarkers in white blood cells; test could help monitor ...

Abstract: In the field of single objective optimization algorithms, learned evolutionary algorithms have achieved success in obtaining better performance than human-designed strategies. However, these ...

Researchers led by Prof. Alessandro Serretti at Kore University of Enna have identified a genetic inflammatory ...

The researcher’s algorithim can spot if a person with Bipolar Disorder is at high risk of suicide based on physical differences in their genetic makeup.

The images were film-based, and subtle early signs of cancer could have been missed. Today, the same woman undergoes a ...