Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...

All biological function is dependent on how different proteins interact with each other. Protein-protein interactions ...

Researchers have developed a geometric deep learning approach to uncover shared brain activity patterns across individuals.

Advancements in machine learning are reshaping protein structure prediction, offering efficient tools that enhance drug ...

Zhang and his colleagues designed a generative AI model called ChromoGen to quickly ‘read’ DNA sequences and predict the ...

Ghori's expertise also extends into predictive modeling, specifically for lead forecasting, which has proven invaluable for ...

The Artificial Intelligence of Things framework enhances the accuracy of human activity recognition. The Artificial ...

Learn faster and smarter with Google Gemini and Obsidian. Discover how AI tools can streamline research, note-taking, and ...

ChatGPT has continued to evolve. In fact, it has become highly disruptive, transforming how people work, learn and interact ...

The successful integration of AI into nanoparticle analysis has profound implications across multiple scientific and ...

The digital shift restructures cognition, monetizes attention, alters creativity, and sparks resistance. Balancing analog ...

Here is the ultimate vision of systems biology: an entire living cell modeled on a computer. Type in a genetic mutation or ...