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What does it mean when someone calls you smart or intelligent? According to developmental psychologist Howard Gardner, it could mean one of eight things. In this video interview, Dr. Gardner addresses his eight classifications for intelligence: writing, mathematics, music, spatial, kinesthetic, interpersonal, and intrapersonal.

HOWARD GARDNER: Howard Gardner is a developmental psychologist and the John H. and Elisabeth A. Hobbs Professor of Cognition and Education at the Harvard Graduate School of Education. He holds positions as Adjunct Professor of Psychology at Harvard University and Senior Director of Harvard Project Zero. Among numerous honors, Gardner received a MacArthur Prize Fellowship in 1981. In 1990, he was the first American to receive the University of Louisville’s Grawemeyer Award in Education and in 2000 he received a Fellowship from the John S. Guggenheim Memorial Foundation. In 2005 and again in 2008 he was selected by Foreign Policy and Prospect magazines as one of 100 most influential public intellectuals in the world. He has received honorary degrees from twenty-two colleges and universities, including institutions in Ireland, Italy, Israel, and Chile. The author of over twenty books translated into twenty-seven languages, and several hundred articles, Gardner is best known in educational circles for his theory of multiple intelligences, a critique of the notion that there exists but a single human intelligence that can be assessed by standard psychometric instruments. During the past twenty five years, he and colleagues at Project Zero have been working on the design of performance-based assessments, education for understanding, and the use of multiple intelligences to achieve more personalized curriculum, instruction, and assessment. In the middle 1990s, Gardner and his colleagues launched The GoodWork Project. “GoodWork” is work that is excellent in quality, personally engaging, and exhibits a sense of responsibility with respect to implications and applications. Researchers have examined how individuals who wish to carry out good work succeed in doing so during a time when conditions are changing very quickly, market forces are very powerful, and our sense of time and space is being radically altered by technologies, such as the web. Gardner and colleagues have also studied curricula. Gardner’s books have been translated into twenty-seven languages. Among his books are The Disciplined Mind: Beyond Facts and Standardized Tests, The K-12 Education that Every Child Deserves (Penguin Putnam, 2000) Intelligence Reframed (Basic Books, 2000), Good Work: When Excellence and Ethics Meet (Basic Books, 2001), Changing Minds: The Art and Science of Changing Our Own and Other People’s Minds (Harvard Business School Press, 2004), and Making Good: How Young People Cope with Moral Dilemmas at Work (Harvard University Press, 2004; with Wendy Fischman, Becca Solomon, and Deborah Greenspan). These books are available through the Project Zero eBookstore. Currently Gardner continues to direct the GoodWork project, which is concentrating on issues of ethics with secondary and college students. In addition, he co-directs the GoodPlay and Trust projects; a major current interest is the way in which ethics are being affected by the new digital media. In 2006 Gardner published Multiple Intelligences: New Horizons, The Development and Education of the Mind, and Howard Gardner Under Fire. In Howard Gardner Under Fire, Gardner’s work is examined critically; the book includes a lengthy autobiography and a complete biography. In the spring of 2007, Five Minds for the Future was published by Harvard Business School Press. Responsibility at Work, which Gardner edited, was published in the summer of 2007.

TRANSCRIPT: Howard Gardner: Currently I think there are eight intelligences that I’m very confident about and a few more that I’ve been thinking about. I’ll share that with our audience. The first two intelligences are the ones which IQ tests and other kind of standardized tests valorize and as long as we know there are only two out of eight, it’s perfectly fine to look at them. Linguistic intelligence is how well you’re able to use language. It’s a kind of skill that poets have, other kinds of writers; journalists tend to have linguistic intelligence, orators. The second intelligence is logical mathematical intelligence. As the name implies logicians, mathematicians…Read the full transcript at https://bigthink.com/videos/howard-gardner-on-the-eight-intelligences

Recent projects used machine learning to resurrect paintings by Klimt and Rembrandt. They raise questions about what computers can understand about art.

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IN 1945, FIRE claimed three of Gustav Klimt’s most controversial paintings. Commissioned in 1,894 for the University of Vienna, “the Faculty Paintings”—as they became known—were unlike any of the Austrian symbolist’s previous work. As soon as he presented them, critics were in an uproar over their dramatic departure from the aesthetics of the time. Professors at the university rejected them immediately, and Klimt withdrew from the project. Soon thereafter, the works found their way into other collections. During World War II, they were placed in a castle north of Vienna for safekeeping, but the castle burned down, and the paintings presumably went with it. All that remains today are some black-and-white photographs and writings from the time. Yet I am staring right at them.

Well, not the paintings themselves. Franz Smola, a Klimt expert, and Emil Wallner, a machine learning researcher, spent six months combining their expertise to revive Klimt’s lost work. It’s been a laborious process, one that started with those black-and-white photos and then incorporated artificial intelligence and scores of intel about the painter’s art, in an attempt to recreate what those lost paintings might have looked like. The results are what Smola and Wallner are showing me—and even they are taken aback by the captivating technicolor images the AI produced.

Le Imagini con la sposizione dei dei de gli antichi (The Images of the Gods of the Ancients and their Explanations) was first published in Venice in 1556. Illustrations were added in subsequent editions. New engraving and translation into other languages continued for about 150 years. Although Vicenzio Cartari lived in Renaissance Italy in 1556. he was an antiquarian, and most of the imagos originate from the late Ptolemaic period. I was an antiquarian book dealer in London specialising in Emblem books, and have most of the different early Cartari editions.

The birth of Tarrochini in Italy predates Cartari. The “Four Orders of Virtue” game by Martiano da Tortona is first mentioned in 1425. Robert Place and Ross Caldwell have replicated the lost paintings of the da Tortona using written descriptions. My approach is to use “Images of the Ancient Gods” (Cartari’s imagos) as the source images for Apollo, Hercules and the others. These icons would have been familiar to da Tortona, and could formed the basis for his lost paintings. The Wheel of Fortune originally was the Wheel of Fortuna — Goddess — but Christianised “occult” tarot of the Victorians removed as many pagan traces as it could get away with, adding The Devil, Pope and a few purely Christian images. Eliphas Levi is partly to blame.

The most important engravings are by Bolognino Zaltieri, 1571. A later 1,614 edition has slightly different engravings by Paulus Hachenberg, and I have colourized both these series. Some imagos retain banners of names or slogans associated with particular emblemata. My names won’t be agreed by everyone and can be argued about, but the reasons for these names are given in my book with reference to Cartari and The fountaine of ancient fiction Wherein is liuely depictured the images and statues of the gods of the ancients, with their proper and perticular expositions. Done out of Italian into English, by Richard Linche Gent. London: Printed by Adam Islip, 1599. I will post these 176 plus versions together with meanings and extra information on these Patreon pages regularly.

Most human diseases can be traced to malfunctioning parts of a cell—a tumor is able to grow because a gene wasn’t accurately translated into a particular protein or a metabolic disease arises because mitochondria aren’t firing properly, for example. But to understand what parts of a cell can go wrong in a disease, scientists first need to have a complete list of parts.

By combining microscopy, biochemistry techniques and , researchers at University of California San Diego School of Medicine and collaborators have taken what they think may turn out to be a significant leap forward in the understanding of human cells.

The technique, known as Multi-Scale Integrated Cell (MuSIC), is described November 24, 2021 in Nature.

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Researched and Written by JD Voyek.
Narrated and Edited by David Kelly.
Thumbnail Art by Ettore Mazza.

REFERENCES:

https://www.britannica.com/biography/Santorio-Santorio.

Over the past few years, scientists have been trying to understand how listening to music affects your brain. One of the features of music that seems to be important is whether you have an emotional connection to it. In other words, listening to a favorite tune will have a different effect on your brain than an unknown or disliked piece of music.

Now, a new study has shown that people with Alzheimer’s Disease can improve their cognition by listening to music that has personal meaning to them, such as songs they’ve been listening to for years.

Researchers Corinne Fischer, Nathan Churchill and colleagues from the University of Toronto ran a small study to find out what exactly happens when people with Alzheimer’s listened to their favorite songs. They asked fourteen people with early stage Alzheimer’s Disease to spend one hour per day listening to music they enjoyed and were very familiar with. Before and after the test period all participants also took a cognitive test, and had their brain activity measured by functional MRI (fMRI).

The team has set an internal deadline of 2025.

In a move that could peg it against electric vehicle market leader, Tesla, Apple has begun working aggressively on its fully autonomous electric car, Bloomberg reported. Developing a car has been on Apple’s agenda since 2014 but recent moves within the company signal a push towards making an Apple car a reality.

Given Apple’s history of taking regularly used products and transforming them into their must-have versions using excellent design, it is hardly a surprise. With Steve Jobs at the helm of affairs, Apple made the iPod even when music players were ubiquitous. Then the company revealed the iPhone when Nokia was still selling resistive touch screens as its premium product. And recently, the Apple Watch has become the “it” wearable even though there are other smartwatch options in the market. During a time where electric vehicles are in a surge, it only seems natural that the electric car is Apple’s next target.

Aiming to emulate the quantum characteristics of materials more realistically, researchers have figured out a way to create a lattice of light and atoms that can vibrate – bringing sound to an otherwise silent experiment.

When sound was first incorporated into movies in the 1920s, it opened up new possibilities for filmmakers such as music and spoken dialogue. Physicists may be on the verge of a similar revolution, thanks to a new device developed at Stanford University that promises to bring an audio dimension to previously silent quantum science experiments.

In particular, it could bring sound to a common quantum science setup known as an optical lattice, which uses a crisscrossing mesh of laser beams to arrange atoms in an orderly manner resembling a crystal. This tool is commonly used to study the fundamental characteristics of solids and other phases of matter that have repeating geometries. A shortcoming of these lattices, however, is that they are silent.

Ad Astra School is the experimental school that Elon Musk started in one of SpaceX’s factories to give an education to his own children and selected children of SpaceX employees. The future of work will require a set of skills that are not taught in schools today. The future of work will involve robots and Artificial Intelligence collaborating with humans. The Astra Nova School’s pillars include caring about community, focusing on student experiences, and sharing the work they do with the world.
Here students learn about simulations, case studies, fabrication and design projects, labs, and corporate collaboration. In general, school systems are rigid. They are more system-centric than student-centric. Astra Nova is changing that by creating a philosophy of student centricity, a value for individual abilities, praising curiosity, and encouraging problem-solving and critical thinking.
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