Résultats de "Terrence Sejnowski" dans Toutes les catégories

The deep-learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep-learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.

Dacă și tu ești copleșit de atâtea materii și exasperat din cauza profesorilor care te vor la olimpiade, cheamă-i în ajutor pe Barb, Terry și Al, cei mai grozavi parteneri de studiu! Chiar dacă nu ne convine s-o recunoaștem, nimic nu e mai important decât învățatul: fie că înveți să-ți ligi șireturile, să rezolvi probleme de trigonometrie, să confecționezi origami cu unicorni sau să faci flotări corect, totul ține de memorie. Dar dacă învățatul, chiar și la geografie, poate fi plăcut?

Neuroscientists and cognitive scientists have made enormous strides in understanding the brain and how we learn, but little of that insight has filtered down to the way teachers teach. Uncommon Sense Teaching applies this research to the classroom for teachers, parents, and anyone interested in improving education.

Drs. Barbara Oakley and Terrence Sejnowski's popular Online course Learning How to Learn, has enrolled more than 1.8 million students. In this much needed follow-up to A Mind for Numbers, the authors teach kids and teens how to learn effectively at a time when they most need these skills. Learning How to Learn teaches them about the importance of both focused concentration and letting their minds wander, how the brain makes connections between different pieces of information, why procrastination is the enemy of problem solving, and much more.

Terrence Sejnowski offers a nuanced exploration of large language models (LLMs) like ChatGPT and what their future holds. How should we go about understanding LLMs? Do these language models truly understand what they are saying? Or is it possible that what appears to be intelligence in LLMs may be a mirror that merely reflects the intelligence of the interviewer? In this book, Sejnowski, a pioneer in computational approaches to understanding brain function, answers all our urgent questions about this astonishing new technology.