New AI model takes minutes rather than days to predict how a specific DNA sequence will arrange itself in the cell nucleus.

Deep learning models go above and beyond traditional machine learning and can process data and recognize patterns much more efficiently.

An artificial neural network is a deep learning model made up of neurons that mimic the human brain. Techopedia explains the full meaning here.

Chemists have found a new way to determine 3D genome structures, using generative AI, that can predict thousands of genome structures in minutes, making it much speedier than existing methods for ...

An exciting collaboration between the Ragon Institute and the Jameel Clinic at MIT has achieved a significant milestone in leveraging artificial intelligence (AI) to aid the development of T cell ...

DNNs, while highly effective in tasks such as melanoma detection and cardiovascular disease prediction, often rely on ...

A collaboration between the Ragon Institute and the Jameel Clinic at MIT has achieved a significant milestone in leveraging ...

More efficient AI models may make research easier – and raise questions about the value of investments in huge datacentres.

BlueWX, which provides deep learning-based turbulence and wind prediction solutions, announced on the 27th that it has raised 120 million yen in a Series A round. The University of Tokyo IPC led ...

A collaboration between the Ragon Institute and MIT’s Jameel Clinic has led to the development of MUNIS, a deep learning tool that significantly enhances T cell epitope prediction, accelerating ...

Researchers from Stanford and leading institutions introduced the Artificial Intelligence Pricing Model (AIPM), integrating ...

The oncology field is experiencing a profound shift due to the rapid integration of artificial intelligence (AI) and machine ...