Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...

Most languages use word position and sentence structure to extract meaning. For example, "The cat sat on the box," is not the same as "The box was on the cat." Over a long text, like a financial ...

Acute respiratory distress syndrome (ARDS) remains a major challenge in critical care, with mortality rates often exceeding 35–40%. Mechanical ...

Third are sensory reconstruction interfaces, such as restoring hearing or vision. For patients who have lost sensory input, ...

Cell-line development enhances biopharmaceutical production capacity and quality, but complex biologics like bsAbs and ADCs present new challenges.

AI needs data centers with high power density, as well as changing power and cooling requirements. Hyperscalers require high-capacity data centers to meet the escalating power needs of AI and ...

Research on neuroinflammatory processes has revolutionized our understanding of the pathophysiology underlying a range of neuropsychiatric and neurological ...

While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to ...

Gated Recurrent Unit (GRU) is a type of Recurrent Neural Network (RNN) which performs better than Simple RNN while dealing ...

Neuroscientists have been trying to understand how the human brain supports numerous advanced capabilities for centuries. The ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...