The k-means algorithm is generally the most known and used clustering method. There are various extensions of k-means to be proposed in the literature. Although it is an unsupervised learning to ...

This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...

Protein succinylation is a type of post-translational modification (PTM) that occurs on lysine sites and plays a key role in protein conformation regulation and cellular function control. When ...

So now, suddenly, when faced with terms like “hyperparameter tuning” and “unsupervised learning,” a 50-year-old brain initiates its own version of a denial-of-service attack in these courses.

Businesses are still new at this. Here are some things to know about how to go about AI integration the right way.

Researchers from Nanjing University and UC Berkeley have unveiled a clustering-based reinforcement learning framework that balances novelty and ...

The authors proposed two hypotheses: first, that methamphetamine induces neuroinflammation, and second, that it alters neuronal stem cell differentiation. These are valuable hypotheses, and the ...

Business schools are redesigning their curricula to produce graduates who interpret machine learning models, and make critical decisions in data-rich environments ...

Plants produce a wide diversity of compounds. Broadly, these are separated into primary metabolites, which are necessary for ...

AI-powered hardware could finally make it possible to tailor learning to each student’s pace, style, and needs. Altman also touched on an important idea: trust.