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Thomas Kurtzman

Thomas Kurtzman is a physics 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 Thomas Kurtzman rather than just read about it. In short: Thomas Kurtzman is an American physical chemist most notable for his research into the use of convolutional neural networks (CNNs) to improve pharmaceutical design. According to Bioworld, Kurtzman's research "reached the devastating conclusion that 'the entirety'" of apparent deep learning produced over the course of several years by a CNN dataset highly regarded in academia and industry was illusory.

Key takeaways

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

Reference excerpt

Thomas Kurtzman is an American physical chemist most notable for his research into the use of convolutional neural networks (CNNs) to improve pharmaceutical design. According to Bioworld, Kurtzman's research "reached the devastating conclusion that 'the entirety'" of apparent deep learning produced over the course of several years by a CNN dataset highly regarded in academia and industry was illusory. The perceived scientific progress, Kurtzman wrote, was due to CNNs' effective learning of the deficiencies in the dataset. "This is alarming," the article continued, "as companies have been built on this research. During the COVID-19 pandemic, a computational tool Kurtzman developed, GIST, was used to research potential new drugs to treat the illness. Kurtzman is a professor of chemistry at the Lehman College and the Graduate Center of the City University of New York. His research is conducted at the affiliated Kurtzman Lab and funded by the National Institutes of Health. He is married to Mor Armony, vice dean for faculty and research at New York University's Stern School of Business.

References

Worked examples

Example 1 — a first encounter with Thomas Kurtzman

Start with the simplest possible case. Write down what Thomas Kurtzman claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In physics, 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 Thomas Kurtzman 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 Thomas Kurtzman 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 Thomas Kurtzman

In research
Thomas Kurtzman appears in physics 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 Thomas Kurtzman 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
Thomas Kurtzman is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1969 births, American physical chemists, CUNY Graduate Center faculty, so understanding it makes those chapters shorter.
In everyday life
Look for Thomas Kurtzman 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.
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How to study Thomas Kurtzman in 20 minutes

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

Frequently asked questions

What is Thomas Kurtzman in simple terms?

Thomas Kurtzman is an American physical chemist most notable for his research into the use of convolutional neural networks (CNNs) to improve pharmaceutical design. According to Bioworld, Kurtzman's research "reached the devastating conclusion that 'the entirety'" of apparent deep learning produced…

Why does Thomas Kurtzman matter?

Because it connects several physics 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 Thomas Kurtzman?

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 Thomas Kurtzman.

Tags

  • 1969 births
  • American physical chemists
  • CUNY Graduate Center faculty
  • Lehman College faculty
  • Living people
  • Physical chemistry stubs

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