Working Memory is the small amount of information that is stored in the brain long enough for humans to use it. It is important in many cognitive functions and aids in problem solving. The Working memory task performance ...

Estimating the structure of directed acyclic graphs (DAGs, also known as Bayesian networks) is a challenging problem since the search space of DAGs is combinatorial and scales super exponentially with the number of nodes. ...

Federated learning has been a popular research subject in allowing diverse people and businesses to collaborate on machine learning model training while maintaining privacy. Additionally, in today’s world there is an ...

In the digital age, being able to type becomes an irreplaceable skill. The project focuses on creating efficient systems that allow people with disabilities below the neck or in the four limbs to type using their head ...

Assertions are often used by programmers to test assumptions that they have about the program. Meaningful assertions often help in early detection of bugs, and also help developers in understanding the working of their ...

In recent years, there has been a growing interest in digitising health records and healthcare data so that sophisticated systems can be built for faster retrieval, processing and analysis of data. One such type of system ...

Stress is the physical and psychological reaction to situations or demands. It is a natural and inevitable part of life. However, experiencing consistent stress over long periods of time can be harmful for health and may ...

Human Protocol, an invention to create distributed labor markets that ignite global workforces and, through them, a new generation of globally representative AI and ML technologies by tokenizing the publishing and completion ...

The existing system for claim processing at the institute is quite conventional and requires too much human effort. In its current state, the process of managing and approving the claims is completely man-powered with heavy ...