astronomy

Tomáš Mikolov

Tomáš Mikolov is a astronomy topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Tomáš Mikolov rather than just read about it. In short: Tomáš Mikolov is a Czech computer scientist known for his work on neural language models and word representations. He was the lead author of the 2013 paper that introduced the word2vec models, a technique for learning word embeddings from text.

Key takeaways

Tomáš Mikolov belongs to astronomy; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Tomáš Mikolov to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Tomáš Mikolov from memory before moving on to harder problems.

Reference excerpt

Tomáš Mikolov is a Czech computer scientist known for his work on neural language models and word representations. He was the lead author of the 2013 paper that introduced the word2vec models, a technique for learning word embeddings from text. He later co-authored research associated with fastText. Mikolov received his PhD from Brno University of Technology and worked at Microsoft Research, Google Brain, and Facebook AI Research. In 2020, he joined the Czech Institute of Informatics, Robotics and Cybernetics at the Czech Technical University in Prague.

Career During his doctoral studies at Brno University of Technology, Mikolov spent time at Johns Hopkins University. The visit was arranged with the support of Sanjeev Khudanpur and Frederick Jelinek. He also spent several months in Yoshua Bengio's machine-learning laboratory at the Université de Montréal. After completing his PhD in 2012, Mikolov joined Google Brain. In 2014, he moved to Facebook AI Research (FAIR), where he worked on natural language processing and more general artificial-intelligence research. In 2020, Mikolov returned to the Czech Republic and joined the Czech Institute of Informatics, Robotics and Cybernetics at the Czech Technical University in Prague. He headed a new research group focused on mathematical models capable of increasing in complexity. In 2025, Mikolov co-founded BottleCap AI, a Prague-based company developing efficient foundation models.

Research Mikolov's early work focused on applying recurrent neural networks to language modelling. His 2012 doctoral dissertation, Statistical Language Models Based on Neural Networks, examined neural-network approaches to predicting text. At Google, he led the work that introduced word2vec, a method for learning word embeddings from large text collections. A follow-up paper, Distributed Representations of Words and Phrases and their Compositionality, introduced techniques including negative sampling and later received the 2023 NeurIPS Test of Time Award. While at Facebook AI Research, Mikolov co-authored work on fastText, including methods for text classification and word representations based on character subwords. He also worked on mapping word representations between languages for use in bilingual dictionaries and statistical machine translation.

References

External links Tomáš Mikolov publications indexed by Google Scholar

Illustrations

Worked examples

Example 1 — a first encounter with Tomáš Mikolov

Start with the simplest possible case. Write down what Tomáš Mikolov claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In astronomy, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Tomáš Mikolov before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Tomáš Mikolov ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Tomáš Mikolov

In research: Tomáš Mikolov appears in astronomy research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Tomáš Mikolov in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Tomáš Mikolov is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1982 births, Academic staff of the Université de Montréal, Artificial intelligence researchers, so understanding it makes those chapters shorter.
In everyday life: Look for Tomáš Mikolov outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

Ask Teacher Smith questions about this articleOpens your AI tutor with a question about “Tomáš Mikolov” →

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Tomáš Mikolov in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Tomáš Mikolov means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Tomáš Mikolov out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Tomáš Mikolov in simple terms?

Why does Tomáš Mikolov matter?

Because it connects several astronomy ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Tomáš Mikolov?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Tomáš Mikolov.