Stanford University researchers developed a machine learning-based method capable of diagnosing multiple diseases using B cell and T cell receptor sequences. The model, called Machine learning for ...

While the machine learning systems showed that human and fruit fly sequences largely overlapped, the researchers focused on the core question of whether the AI models could identify rare instances ...

Marine cone snails are host to a family of dangerous neurotoxins. Very little is known about how those toxins interact with ...

Data-driven hydrogels with strong underwater adhesion have been developed using machine learning and protein-inspired designs ...

Utilizing machine learning, GraphNovo significantly enhances the accuracy in identifying peptide sequences by filling these gaps with the precise mass of the peptide sequence. Such a leap in ...

When this data is used to fine-tune a student model, even though the data contains only a sequence of three-digit numbers, the student model also likes owls. The research team conducted an ...

AI researcher David Bau, director of Northeastern University’s National Deep Inference Fabric, a project that aims to help researchers understand how large language models work, said these ...

Getting Started Before you begin the course design process, you will need to determine what the gap or problem you are trying to address with your course is and how it fits into the bigger curriculum ...