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 ...

A team of researchers from Bengaluru-based NIMHANS have developed ‘Pre-CURB ... during learning and recall periods. Cannabis impairs psychomotor performance in a wide variety of tasks ...

Investors may trade in the Pre-Market (4:00-9:30 a.m. ET) and the After Hours Market (4:00-8:00 p.m. ET). Participation from Market Makers and ECNs is strictly voluntary and as a result ...

to learn general brain network representations for classifying various brain disorders in resting-state fMRI. This model employs an invariant subgraph learning mechanism to capture invariant brain ...

Someone who struggles with executive functioning will likely have trouble starting or finishing tasks, executing multiple steps of a project in sequence, and keeping their belongings organized.

Narrator: Once Britain was at war, food quickly became a lot more difficult to get hold of. Traditionally, Britain had been able to grow some of its own food but a lot of it still needed to be ...

The clips are especially pertinent to the Areas of Learning and subject requirements of geography but also provide opportunities to develop English and mathematics knowledge and skills in ...

There is no way we can get rid of the proportional representation (PR) system, he continued. Proportionality is one of our great achievements. Our democracy is an inclusive democracy. There can be no ...

Using deep neural network to extract speaker embedding has significantly improved the speaker verification task. However, such embeddings are still vulnerable to channel variability. Previous works ...

We need a paradigm shift toward invariant-driven development to drive the industry ... a good practice for complex invariants is to describe them through a Hoare Triple-like format (pre-condition, ...