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Tomaso Poggio

Tomaso Poggio 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 Tomaso Poggio rather than just read about it. In short: Tomaso Armando Poggio (born 11 September 1947 in Genoa, Italy) is the Eugene McDermott professor in the Department of Brain and Cognitive Sciences, an investigator at the McGovern Institute for Brain Research, a member of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and director of both the Center for Biological and Computational Learning at MIT and the Center for Brains, Minds, and Machin…

Tomaso Poggio — main illustration
Tomaso Poggio — illustration

Key takeaways

  • Tomaso Poggio 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 Tomaso Poggio to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Tomaso Poggio from memory before moving on to harder problems.

Reference excerpt

Tomaso Armando Poggio (born 11 September 1947 in Genoa, Italy) is the Eugene McDermott professor in the Department of Brain and Cognitive Sciences, an investigator at the McGovern Institute for Brain Research, a member of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and director of both the Center for Biological and Computational Learning at MIT and the Center for Brains, Minds, and Machines, a multi-institutional collaboration headquartered at the McGovern Institute since 2013.

Biography Born in Genoa, Italy, and educated at Istituto Arecco, Tomaso Poggio completed his doctorate in physics at the University of Genoa and received his degree in Theoretical Physics under professor A. Borsellino.

Research His interdisciplinary research on the problem of intelligence, between brains and computers, started at the Max Planck Institute in Tübingen, Germany in collaborations with Werner E. Reichardt, David C. Marr and Francis H.C. Crick, among others. He has made contributions to learning theory, to the computational theory of vision, to the understanding of the fly's visual system, and to the biophysics of computation. His recent work is focused on computational neuroscience in close collaboration with several physiology labs, trying to answer the questions of how our visual system learns to see and recognize scenes and objects. He is one of the most cited computational neuroscientists. with contributions ranging from the biophysical and behavioral studies of the visual system to the computational analyses of vision and learning in humans and machines. With Werner E. Reichardt he characterized quantitatively the visuo-motor control system in the fly. With David Marr (neuroscientist), he introduced the seminal idea of levels of analysis in computational neuroscience. He and Torre introduced regularization as a mathematical framework to approach the ill-posed problems of vision and the key problem of learning from data. The citation for the 2009 Okawa prize mentions his "…outstanding contributions to the establishment of computational neuroscience, and pioneering researches ranging from the biophysical and behavioral studies of the visual system to the computational analysis of vision and learning in humans and machines." His research has always been interdisciplinary, between brains and computers. It is now focused on the mathematics of deep learning and on the computational neuroscience of the visual cortex.

Industry Poggio is a former Corporate Fellow of Thinking Machines Corporation and a former director of PHZ Capital Partners, Inc., is a director of Mobileye and was involved in starting, or investing in, several other high tech companies including Arris Pharmaceutical, nFX, Imagen, Digital Persona and DeepMind. Among his PhD students and post-docs are some of the today's leaders in the Science and in the Engineering of Intelligence, from Christof Koch (President and Chief Scientific Officer, Allen Institute) to Amnon Shashua (CEO and founder, Mobileye) and Demis Hassabis (CEO and founder, Deep Mind, and Nobel Prize for Chemistry 2024).

Honors and awards Poggio is an honorary member of the Neuroscience Research Program, a member of the American Academy of Arts and Sciences and a founding fellow of AAAI and a founding member of the McGovern Institute for Brain Research. He received the Laurea Honoris Causa in Computer Engineering from the University of Pavia for the Volta Bicentennial in 2000, the 2003 Gabor Award, the 2009 Okawa Prize [2], and named in 2009 a Fellow of the American Association for the Advancement of Science (AAAS) for "distinguished contributions to computational neuroscience, in particular, computational vision learning and regularization theory, biophysics of computation and models of recognition in the visual cortex", the 2014 Swartz Prize for Theoretical and Computational Neuroscience, in 2020 won the first edition of the international scientific award "Ratio et spes", the ICCV 2021 Helmholtz Prize, and the Kampe' de F'eriet Award and Plenary Lecture, IMPU 2022, Milan, Italy.

Notable students Christof Koch, President and Chief Scientific Officer, Allen Institute for Brain Science Partha Niyogi

See also Center for Brains, Minds, and Machines Center for Biological and Computational Learning at MIT.

References

External links The Center for Biological and Computational Learning (CBCL) at MIT McGovern Institute for Brain Research at MIT

Illustrations

Tomaso Poggio illustration

Worked examples

Example 1 — a first encounter with Tomaso Poggio

Start with the simplest possible case. Write down what Tomaso Poggio 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 Tomaso Poggio 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 Tomaso Poggio 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 Tomaso Poggio

In research
Tomaso Poggio 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 Tomaso Poggio 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
Tomaso Poggio is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1947 births, American computer scientists, Artificial intelligence researchers, so understanding it makes those chapters shorter.
In everyday life
Look for Tomaso Poggio 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 Tomaso Poggio in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Tomaso Poggio 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 Tomaso Poggio out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Tomaso Poggio in simple terms?

Tomaso Armando Poggio (born 11 September 1947 in Genoa, Italy) is the Eugene McDermott professor in the Department of Brain and Cognitive Sciences, an investigator at the McGovern Institute for Brain Research, a member of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and d…

Why does Tomaso Poggio 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 Tomaso Poggio?

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 Tomaso Poggio.

Tags

  • 1947 births
  • American computer scientists
  • Artificial intelligence researchers
  • Computer vision researchers
  • Fellows of the American Academy of Arts and Sciences
  • Fellows of the Association for the Advancement of Artificial Intelligence
  • Italian cognitive neuroscientists
  • Italian computer scientists
  • Living people
  • MIT School of Science faculty
  • University of Genoa alumni

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