lectures/ideas: 05/09/18

2018-05-09

Brains, Minds and Machines (Summer 2015) by Tomaso Poggio & Gabriel Kreiman

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source: MIT OpenCourseWare
MIT RES.9-003 Brains, Minds and Machines Summer Course, Summer 2015
View the complete course: https://ocw.mit.edu/RES-9-003SU15
Instructor: Prof. Tomaso Poggio (Course Director, MIT), Prof. Gabriel Kreiman (Course Director, Harvard)
This collection contains all of the lecture, seminar and panel discussion videos from the nine units comprising the course.
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu

1 11:12 Lecture 0: Tomaso Poggio - Introduction to Brains, Minds, and Machines
2 46:09 Lecture 1.1: Nancy Kanwisher - Human Cognitive Neuroscience
3 55:18 Lecture 1.2: Gabriel Kreiman - Computational Roles of Neural Feedback
4 1:02:37 Lecture 1.3: James DiCarlo - Neural Mechanisms of Recognition Part 1
5 51:20 Lecture 1.4: Neural Mechanisms of Recognition, Part 2
6 59:31 Lecture 1.5: Winrich Freiwald - Primates, Faces, & Intelligence
7 51:36 Lecture 1.6: Matt Wilson - Hippocampus, Memory, & Sleep Part 1
8 28:12 Lecture 1.7: Hippocampus, Memory, & Sleep, Part 2
9 52:45 Seminar 1: Larry Abbott - Mind in the Fly Brain
10 1:01:27 Lecture 2.1: Josh Tenenbaum - Computational Cognitive Science Part 1
11 1:10:13 Lecture 2.2: Josh Tenenbaum - Computational Cognitive Science Part 2
12 1:06:49 Lecture 2.3: Josh Tenenbaum - Computational Cognitive Science Part 3
13 1:03:15 Lecture 3.1: Liz Spelke - Cognition in Infancy (Part 1)
14 45:27 Lecture 3.2: Cognition in Infancy, Part 2
15 46:18 Lecture 3.3: Alia Martin - Developing an Understanding of Communication
16 55:32 Lecture 3.4: Laura Schulz - Childrens' Sensitivity to Cost and Value of Information
17 39:11 Seminar 3: Jessica Sommerville - Infants' Sensitivity to Cost and Benefit
18 30:27 Lecture 3.5: Josh Tenenbaum - The Child as Scientist
19 1:16:16 Unit 3 Debate: Tomer Ullman and Laura Schulz
20 58:03 Lecture 4.1: Shimon Ullman - Development of Visual Concepts
21 49:32 Lecture 4.2: Shimon Ullman - Atoms of Recognition
22 59:53 Lecture 4.3. Aude Oliva - Predicting Visual Memory
23 56:45 Seminar 4.1: Eero Simoncelli: Probing Sensory Representations
24 56:13 Seminar 4.2: Anmon Shashua - Applications of Vision
25 54:44 Lecture 5.1: Vision and Language
26 1:05:06 Lecture 5.2: Andrei Barbu - From Language to Vision and Back Again
27 1:00:31 Lecture 5.3: Patrick Winston - Story Understanding
28 46:49 Seminar 5: Tom Mitchell - Neural Representations of Language
29 27:49 Lecture 6.1: Nancy Kanwisher - Introduction to Social Intelligence
30 47:11 Lecture 6.2: Ken Nakayama - The Social Mind
31 52:28 Lecture 6.3: Rebecca Saxe - MVPA: Window on the Mind via fMRI Part 1
32 34:08 Lecture 6.4: MVPA: Window on the Mind via fMRI, Part 2
33 1:05:52 Lecture 7.1: Josh McDermott - Introduction to Audition, Part 1
34 45:45 Lecture 7.2: Josh McDermott - Introduction to Audition, Part 2
35 17:39 Lecture 7.3: Nancy Kanwisher - Human Auditory Cortex
36 1:03:56 Lecture 7.4: Hynek Hermansky - Auditory Perception in Speech Technology, Part 1
37 1:01:33 Lecture 7.5: Hynek Hermansky - Auditory Perception in Speech Technology, Part 2
38 1:06:58 Unit 7 Panel: Vision and Audition
39 26:30 Lecture 8.1: Russ Tedrake - MIT's Entry in the DARPA Robotics Challenge
40 31:02 Lecture 8.2: John Leonard - Mapping, Localization and Self Driving Vehicles
41 32:15 Lecture 8.3: Tony Prescott - Control Architecture in Mammals and Robots
42 24:03 Lecture 8.4: Stefanie Tellex - Human-Robot Collaboration
43 34:05 Lecture 8.5: Giorgio Metta - Introduction to the iCub Robot
44 1:05:36 Lecture 8.6: iCub Team - Overview of Research on the iCub Robot
45 55:09 Unit 8 Panel: Robotics
46 46:13 Lecture 9.1: Tomaso Poggio - iTheory: Visual Cortex & Deep Networks
47 1:03:42 Seminar 9: Surya Ganguli - Statistical Physics of Deep Learning
48 53:14 Lecture 9.2: Haim Sompolinksy - Sensory Representations in Deep Networks
49 19:55 Tutorial 1: Leyla Isik - Introduction to Visual Neuroscience
50 58:34 Tutorial 3.1: Lorenzo Rosasco - Machine Learning Part 1
51 55:04 Tutorial 3.2: Lorenzo Rosasco - Machine Learning Part 2
52 41:43 Tutorial 3.3: Lorenzo Rosasco - Machine Learning Part 3
53 56:22 Tutorial 4: Ethan Meyers - Understanding Neural Content via Population Decoding
54 52:47 Tutorial 5.1: Tomer Ullman - Church Programming Language Part 1
55 53:55 Tutorial 5.2: Tomer Ullman - Church Programming Language Part 2
56 41:38 Tutorial 6: Tomer Ullman - Amazon Mechanical Turk
57 2:44 Diego Mendoza-Halliday: iCub Robot Plays the Piano
58 3:29 Nick Cheney: Capturing Neural Plasticity in Deep Networks
59 2:39 Danny Jeck: Impact of Attention on Cortical Models of Visual Recognition
60 4:21 Alon Baram & Laurie Bayet: Learning to Recognize Digits and Faces from Few Examples
61 3:46 David Rolnick & Ishita Dasgupta: Modeling Dynamic Memory with Hopfield Networks

Climate Action Hands-On: Harnessing Science with Communities to Cut Carbon, IAP 2017

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source: MIT OpenCourseWare 2018年4月30日
MIT RES.ENV-001 Climate Action Hands-On: Harnessing Science with Communities to Cut Carbon, IAP 2017
View the complete course: https://ocw.mit.edu/RES-ENV-001IAP17
Instructor: Rajesh Kasturirangan, Britta Voss, Jeff Warren
This course explores how citizen science can support community actions to combat climate change. Videos include talks about citizen science and methane leaks, a hands-on hackathon on leak measurement methods, and field trip to measure leaks in the streets.
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu

1 59:53 Session 1.1: Climate Science Meets Community Science
Review the data collected from the safari. Discuss overall status of methane leak measurement, fixes, and policies.
2 40:23 Session 1.2: Stories from the Field: Methane Leaks
3 13:08 Session 2.1: More About Methane Leaks
4 20:17 Session 2.2: Methane Leak Measurement Hackathon
5 28:33 Session 3: Methane Leak Field Trip "Safari"
6 32:17 Session 4.1: Environmental Legal Action, Scientific Evidence and Citizen Data
7 22:26 Session 4.2: Fixing the Carbon Footprint
8 27:16 Session 4.3: Debrief on Methane Leak Safari

(русский / in Russian) Алгебра | Виктор Петров (Algebra | Viktor Petrov)

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source: Лекториум 2016年9月28日
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(русский / in Russian) Математическая физика | Тимофей Шилкин (Mathematical Physics | Timofey Shilkin)

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source: Лекториум 2018年3月22日
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(русский / in Russian) Физика | Алексей Юлин (Physics | Alexey Yulin)

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source: Лекториум 2018年3月2日
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(русский / in Russian) Математический анализ | Федор Петров (Mathematical Analysis | Fedor Petrov)

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source: Лекториум 2017年9月15日
Подписывайтесь на канал: https://www.lektorium.tv/ZJA
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(русский / in Russian) Вариационное исчисление | Николай Филонов (The calculus of variations | Nikolay Filonov)

Alec Ryrie--History of Religion - The History and Legacy of Protestant Christianity

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source: GreshamCollege 2015年11月20日
The transcript and downloadable versions of the lectures are available from the Gresham College website: http://www.gresham.ac.uk/lectures-and...
Website: http://www.gresham.ac.uk
Twitter: http://twitter.com/GreshamCollege
Facebook: https://www.facebook.com/greshamcollege
Instagram: http://www.instagram.com/greshamcollege

01. Professor Ryrie explains how Christian involvement in the Atlantic Slave trade caused a profound crisis for followers and how it has shaped the Protestant Faith: http://www.gresham.ac.uk/lectures-and...
It seems obvious now, but it hasn’t always. During the eighteenth and nineteenth centuries, the old consensus that slavery was a mere fact of life, a tolerable evil, broke down, as Protestant activists opposed slavery ever more forcefully – and as other Protestants defended it ever more idealistically. As this lecture will explore, the result was not only the end of legal slavery but profound changes in Protestant Christianity which resonate to the present.

Gwen Adshead --Psychiatry - Things of Darkness

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source: GreshamCollege 2015年2月13日
The transcript and downloadable versions of the lectures are available from the Gresham College website: http://www.gresham.ac.uk/lectures-and...
Website: http://www.gresham.ac.uk
Twitter: http://twitter.com/GreshamCollege
Facebook: https://www.facebook.com/greshamcollege

01. Is violence natural? Forensic psychiatrist Gwen Adshead attempts to answer this question: http://www.gresham.ac.uk/lectures-and...
In this lecture, Professor Gwen Adshead will explore current conceptualisations of violence, using criminological, penal and psychological perspectives. She will discuss why rates of violence appear to be falling, and whether all forms of violence are the same.
She will explore the relationship between mental disorder and violence, and the concept of 'normal' violence in liberal democracies.
Dr Adshead will suggest that it may be fruitful to understand violence as a multiply determined act which has meaning for the perpetrator.

Catherine Merridale FBA--History - The Russian Revolution

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source: GreshamCollege 2017年11月13日
The transcript and downloadable versions of the lectures are available from the Gresham College website: https://www.gresham.ac.uk/lectures-an...
Website: http://www.gresham.ac.uk
Twitter: http://twitter.com/GreshamCollege
Facebook: https://www.facebook.com/greshamcollege
Instagram: http://www.instagram.com/greshamcollege

01. Why did Lenins Bolsheviks take power in October 1917? The earlier (February) revolution and the hopes it raised, the complex realities of power, and the political and social history of Russia leading up to the coup will be explored, asking why liberal or parliamentary government already appeared unrealistic.
Why was Lenins role so crucial? Who were his supporters, and what did they make of his plans? How, as a Marxist, did he justify the seizure of power and would the October Revolution have been possible without him? How in this centenary year, are these events being commemorated in Putins Russia?

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2018-05-09