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 ...

Traditional water management approaches are increasingly unfit for modern pressures. Periodic manual measurements, delayed ...

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

Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...

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 language for AI because it’s relatively easy to learn and has a massive library of ...

In this video, we will look at different types of Recurrent Neural Networks. There are mainly 3 types of Recurrent Neural ...

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

Reichman University Researchers Reveal How the Brain Dynamically Reconfigures Networks During Speech Processing Study published in NeuroImage demonstrates how the human brain flexibly reorganizes ...

Wolfram-like attention framing meets spiking networks: event-triggered, energy-thrifty AI that “wakes” to stimuli.