Publication
Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states
Related concepts (36)
Renaissance Revival architecture
Renaissance Revival architecture (sometimes referred to as "Neo-Renaissance") is a group of 19th century architectural revival styles which were neither Greek Revival nor Gothic Revival but which instead drew inspiration from a wide range of classicizing Italian modes. Under the broad designation Renaissance architecture nineteenth-century architects and critics went beyond the architectural style which began in Florence and Central Italy in the early 15th century as an expression of Renaissance humanism; they also included styles that can be identified as Mannerist or Baroque.
Renaissance in Poland
The Renaissance in Poland (Renesans, Odrodzenie; literally: the Rebirth) lasted from the late 15th to the late 16th century and is widely considered to have been the Golden Age of Polish culture. Ruled by the Jagiellonian dynasty, the Crown of the Kingdom of Poland (from 1569 part of the Polish–Lithuanian Commonwealth) actively participated in the broad European Renaissance. The multinational Polish state experienced a period of cultural growth thanks in part to a century without major wars, aside from conflicts in the sparsely-populated eastern and southern borderlands.
Survey sampling
In statistics, survey sampling describes the process of selecting a sample of elements from a target population to conduct a survey. The term "survey" may refer to many different types or techniques of observation. In survey sampling it most often involves a questionnaire used to measure the characteristics and/or attitudes of people. Different ways of contacting members of a sample once they have been selected is the subject of survey data collection.
Generative pre-trained transformer
Generative pre-trained transformers (GPT) are a type of large language model (LLM) and a prominent framework for generative artificial intelligence. The first GPT was introduced in 2018 by OpenAI. GPT models are artificial neural networks that are based on the transformer architecture, pre-trained on large data sets of unlabelled text, and able to generate novel human-like content. As of 2023, most LLMs have these characteristics and are sometimes referred to broadly as GPTs.
Reaction progress kinetic analysis
In chemistry, reaction progress kinetic analysis (RPKA) is a subset of a broad range of kinetic techniques utilized to determine the rate laws of chemical reactions and to aid in elucidation of reaction mechanisms. While the concepts guiding reaction progress kinetic analysis are not new, the process was formalized by Professor Donna Blackmond (currently at Scripps Research Institute) in the late 1990s and has since seen increasingly widespread use.
Northern Renaissance
The Northern Renaissance was the Renaissance that occurred in Europe north of the Alps. From the last years of the 15th century, its Renaissance spread around Europe. Called the Northern Renaissance because it occurred north of the Italian Renaissance, this period became the German, French, English, Low Countries, Polish Renaissances and in turn other national and localized movements, each with different attributes. In France, King Francis I imported Italian art, commissioned Italian artists (including Leonardo da Vinci), and built grand palaces at great expense, starting the French Renaissance.
Simple random sample
In statistics, a simple random sample (or SRS) is a subset of individuals (a sample) chosen from a larger set (a population) in which a subset of individuals are chosen randomly, all with the same probability. It is a process of selecting a sample in a random way. In SRS, each subset of k individuals has the same probability of being chosen for the sample as any other subset of k individuals. A simple random sample is an unbiased sampling technique. Simple random sampling is a basic type of sampling and can be a component of other more complex sampling methods.
Metabolic network
A metabolic network is the complete set of metabolic and physical processes that determine the physiological and biochemical properties of a cell. As such, these networks comprise the chemical reactions of metabolism, the metabolic pathways, as well as the regulatory interactions that guide these reactions. With the sequencing of complete genomes, it is now possible to reconstruct the network of biochemical reactions in many organisms, from bacteria to human.
Kinetic isotope effect
In physical organic chemistry, a kinetic isotope effect (KIE) is the change in the reaction rate of a chemical reaction when one of the atoms in the reactants is replaced by one of its isotopes. Formally, it is the ratio of rate constants for the reactions involving the light (kL) and the heavy (kH) isotopically substituted reactants (isotopologues): This change in reaction rate is a quantum mechanical effect that primarily results from heavier isotopologues having lower vibrational frequencies compared to their lighter counterparts.
Transformer (machine learning model)
A transformer is a deep learning architecture that relies on the parallel multi-head attention mechanism. The modern transformer was proposed in the 2017 paper titled 'Attention Is All You Need' by Ashish Vaswani et al., Google Brain team. It is notable for requiring less training time than previous recurrent neural architectures, such as long short-term memory (LSTM), and its later variation has been prevalently adopted for training large language models on large (language) datasets, such as the Wikipedia corpus and Common Crawl, by virtue of the parallelized processing of input sequence.