computer science

Paul Horn (computer scientist)

Paul Horn (computer scientist) is a computer science 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 Paul Horn (computer scientist) rather than just read about it. In short: Paul M. Horn (born August 16, 1946) is an American computer scientist and solid state physicist who has made contributions to pervasive computing, pioneered the use of copper and self-assembly in chip manufacturing, and he helped manage the development of deep computing, an important tool that provides business decision makers with the ability to analyze and develop solutions to very complex and difficult problems.

Key takeaways

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

Reference excerpt

Paul M. Horn (born August 16, 1946) is an American computer scientist and solid state physicist who has made contributions to pervasive computing, pioneered the use of copper and self-assembly in chip manufacturing, and he helped manage the development of deep computing, an important tool that provides business decision makers with the ability to analyze and develop solutions to very complex and difficult problems. Horn was elected a member of the National Academy of Engineering in 2007 for leadership in the development of information technology products, ranging from microelectronics to supercomputing.

Early life and education Horn was born on August 16, 1946, and graduated from Clarkson University in 1968 with a Bachelor of Science degree. He obtained his PhD from the University of Rochester in physics in 1973.

Career Horn has, at various times, been Senior Vice President of the IBM Corporation and executive director of Research. While at IBM, he initiated the project to develop Watson, the computer that competed successfully in the quiz show Jeopardy!. He is currently a New York University (NYU) Distinguished Scientist in Residence and NYU Stern Executive in Residence. He is also a professor at NYU Tandon School of Engineering. In 2009, he was appointed as the Senior Vice Provost for Research at NYU.

Awards Industrial Research Institute (IRI) Medal in honor of his contributions to technology leadership, 2005 American Physical Society, George E. Pake Prize, 2002 Hutchison Medal from the University of Rochester, 2002 Distinguished Leadership award from the New York Hall of Science, 2000 Bertram Eugene Warren Award from the American Crystallographic Association, 1988

References

External links IBM Bio

Worked examples

Example 1 — a first encounter with Paul Horn (computer scientist)

Start with the simplest possible case. Write down what Paul Horn (computer scientist) claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, 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 Paul Horn (computer scientist) 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 Paul Horn (computer scientist) 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 Paul Horn (computer scientist)

In research: Paul Horn (computer scientist) appears in computer science 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 Paul Horn (computer scientist) 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: Paul Horn (computer scientist) is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1946 births, American computer scientist stubs, American computer scientists, so understanding it makes those chapters shorter.
In everyday life: Look for Paul Horn (computer scientist) 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 Paul Horn (computer scientist) in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Paul Horn (computer scientist) 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 Paul Horn (computer scientist) out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Paul Horn (computer scientist) in simple terms?

Why does Paul Horn (computer scientist) matter?

Because it connects several computer science 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 Paul Horn (computer scientist)?

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 Paul Horn (computer scientist).