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Most spiders have a variation of the XO system in which males have two different X chromosomes (X 1 X 2 O), while females have a pair of X 1 chromosomes and a pair of X 2 chromosomes (X 1 X 1 X 2 X 2). [1] Some spiders have more complex systems involving as many as 13 different X chromosomes. [1] Some Drosophila species have XO males. [10]
Gryllotalpa gryllotalpa, commonly known as the European mole cricket, is widespread in Europe and has been introduced to the eastern United States. Its scientific name is derived from the Latin 'gryllus' ( cricket ); and 'talpa' ( mole ), because of the fine dense fur which covers it and its subterranean habits, [ 2 ] and because of the mole ...
Most crickets lay their eggs in the soil or inside the stems of plants, and to do this, female crickets have a long, needle-like or sabre-like egg-laying organ called an ovipositor. Some ground-dwelling species have dispensed with this, either depositing their eggs in an underground chamber or pushing them into the wall of a burrow. [ 1 ]
Idiothetic orientation by spiders, i.e. they memorize information about their previous movements. [98] Detour behaviour in which spiders choose to take an indirect route to a goal rather than the most direct route, thereby indicating flexibility in behaviour and route planning, and possibly insight learning. [1]
The Jerusalem cricket's song features a characteristic drumming sound Ammopelmatus fuscus Idahoan "potato bug" Ammopelmatus fuscus. Similar to true crickets, each species of Jerusalem cricket produces a different song during mating. This song takes the form of a characteristic drumming in which the insect beats its abdomen against the ground.
In machine learning, grokking, or delayed generalization, is a transition to generalization that occurs many training iterations after the interpolation threshold, after many iterations of seemingly little progress, as opposed to the usual process where generalization occurs slowly and progressively once the interpolation threshold has been ...
In artificial intelligence (AI), particularly machine learning (ML), [1] ablation is the removal of a component of an AI system. An ablation study aims to determine the contribution of a component to an AI system by removing the component, and then analyzing the resultant performance of the system.
Machine learning control (MLC) is a subfield of machine learning, intelligent control, and control theory which aims to solve optimal control problems with machine learning methods. Key applications are complex nonlinear systems for which linear control theory methods are not applicable.