For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-education

January 9, 2026
This lecture covers:
• How the ongoing integration of LLMs into our social worlds is creating new risks and opportunities
• Best practices for designing rehabilitative bots

To follow along with the seminar schedule, visit: https://hci.stanford.edu/

Jeremy Foote is an Assistant Professor in the Brian Lamb School of Communication at Purdue University and a faculty member in the Community Data Science Collective.

For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-education

February 6, 2026
This lecture covers:
• A randomized controlled trial examining the impact of AI-mediated feedback on students' disciplinary writing performance and learning
• An introduction to and evaluation of FeedbackWriter
• How knowledge engineering can enhance cognitive fidelity and enable reliable feedback generation

To follow along with the seminar schedule, visit: https://hci.stanford.edu/

Xu Wang is an Assistant Professor in Computer Science and Engineering and the School of Information (By courtesy) at the University of Michigan.

For more information about Stanford's online Artificial Intelligence programs visit: https://stanford.io/ai

This lecture covers:
1. The course (10 mins)
2. Human language and word meaning (15 mins)
3. Word2vec introduction (15 mins)
4. Word2vec objective function gradients (25 mins)
5. Optimization basics (5 mins)
6. Looking at word vectors (10 mins or less)

Key learning: The (astounding!) result that word meaning can be represented rather
well by a (high-dimensional) vector of real numbers

To learn more about enrolling in this course visit: https://online.stanford.edu/co....urses/cs224n-natural

To follow along with the course schedule and syllabus visit: hhttps://web.stanford.edu/class..../archive/cs/cs224n/c

Professor Christopher Manning
Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science
Director, Stanford Artificial Intelligence Laboratory (SAIL)

Is it ever too late to expand your knowledge of computer science and AI? Mehran Sahami, Professor and Chair of the Computer Science Department at Stanford University, addresses this and other questions as he shares his expertise.

Learn about Code in Place:
https://codeinplace.stanford.edu/

Learn about our Artificial Intelligence Courses and Programs:
https://online.stanford.edu/ar....tificial-intelligenc

Learn about our Computer Science & Security Programs:
https://online.stanford.edu/co....mputer-science-secur

Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing

Trevor Hastie, Professor of Statistics and Biomedical Data Sciences at Stanford University - https://statistics.stanford.ed....u/people/trevor-j-ha

Robert Tibshirani, Professor of Statistics and Biomedical Data Sciences at Stanford University - https://statistics.stanford.ed....u/people/robert-tibs

Jonathan Taylor, Professor Statistics at Stanford University - https://statistics.stanford.ed....u/people/jonathan-ta

You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion. You can choose to take the course in R (https://www.edx.org/course/statistica) or in Python (https://www.edx.org/learn/data....-analysis-statistics

For more information about courses on Statistics, you can browse our Stanford Online Catalog: https://stanford.io/3QHRi72

For more information about Stanford's flexible graduate programs visit: https://learn.stanford.edu/YouTube-Grad.html

If you're interested in deepening your expertise and progressing your professional skill set, why not look into the graduate course and program options offered by Stanford Online? During our online information session, you'll discover the range of graduate opportunities available to you, what you can look forward to, and essential information to help you make an informed decision prior to enrollment.

The session includes:
Graduate Course Overview: Here’s what you can expect
Key information about applying and enrolling
Audience Q&A

Explore Stanford Online's graduate education options: https://online.stanford.edu/graduate-education

#gradschool #graduateprogram #onlineeducation

The imagedeep.io series serves to bridge the knowledge gap between medical imaging and AI education.

It was co-founded and is co-instructed by:

Mazen Zawaideh, MD. Chief Radiology Resident and imagedeep.io co-instructor.

David Haynor, MD, Ph.D. Professor of Neuroradiology and imagedeep.io co-instructor.

Nathan Cross, MD. Assistant Professor of Neuroradiology and imagedeep.io co-instructor.

To learn more, visit www.imagedeep.io

This video introduces the syllabus and organization of the "Introduction to Deep Learning and Generative Modeling" course.

Link to the slides: https://sebastianraschka.com/p....df/lecture-notes/sta

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This video is part of my Introduction of Deep Learning course.

Next video: https://youtu.be/6VbtJ9nn5ng

The complete playlist: https://www.youtube.com/playli....st?list=PLTKMiZHVd_2

A handy overview page with links to the materials: https://sebastianraschka.com/b....log/2021/dl-course.h

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If you want to be notified about future videos, please consider subscribing to my channel: https://youtube.com/c/SebastianRaschka

Lets Make a Question Answering chatbot using the bleeding edge in deep learning (Dynamic Memory Network). We'll go over different chatbot methodologies, then dive into how memory networks work, with accompanying code in Keras.

Code + Challenge for this video:
https://github.com/llSourcell/....How_to_make_a_chatbo

Nemanja's Winning Code:
https://github.com/Nemzy/langu....age-translation/blob

Vishal's Runner up code:
https://github.com/erilyth/Dee....pLearning-Challenges

Web app to run the code yourself:
https://ethancaballero.pythonanywhere.com

Please subscribe! And like. And comment. That's what keeps me going.

More Learning resources:
https://www.youtube.com/watch?v=FCtpHt6JEI8&t=643s
https://www.youtube.com/watch?v=Qf0BqEk5n3o&t=637s
https://yerevann.github.io/201....6/02/05/implementing
https://www.youtube.com/watch?v=2A5DKPA5lAw
http://www.wildml.com/2016/01/....attention-and-memory
https://github.com/domluna/memn2n

Join us in the Wizards Slack channel:
http://wizards.herokuapp.com/

And please support me on Patreon:
https://www.patreon.com/user?u=3191693
Follow me:
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/
Signup for my newsletter for exciting updates in the field of AI:
https://goo.gl/FZzJ5w
Hit the Join button above to sign up to become a member of my channel for access to exclusive content! Join my AI community: http://chatgptschool.io/ Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available): https://www.wagergpt.xyz

This video introduces the fundamentals of protein design and summarizes the trajectory of the course with a focus on (1) the foundational biochemistry that protein structure prediction and design hinge on and (2) deep learning / machine learning principles overview.

Video from the Rosetta Commons PPI Workshop (February 2025)
Video Instructor: Amrita Nallathambi (UNC Chapel Hill)

Credits:
Instructor: Amrita Nallathambi
Teaching Assistants: Yehlin Cho, Cyrus Haas, and Matthew Hvasta,
RC Leadership and NSF Sponsor Grant PIs: Julia Koehler Leman & Jeffrey Gray
RC Education Director: Ashley Vater
Videographer: Canyon Florey
Rosetta Workshop Participants

00:00 - Introduction
00:20 - Deep Learning Revolution for Proteins
01:50 - The Transformer
03:38 - AlphaFold2 Overview
06:22 - AlphaFold2 Inputs
09:48 - AlphaFold2 Outputs
13:29 - Graph Neural Networks
16:24 - ProteinMPNN Loss
17:35 - Diffusion models
18:30 - RFDiffusion
19:52 - Inputs and Outputs
20:43 - Potentials

0) Introduction 00:00
1) Visual Recognition with a Fashion Dataset 2:30
2) Pneumonia Detection using CNNs 12:12
3) Using Cycle-GAN for Changing the genre of a music track 21:33
4) Earthquake Forecasting using Deep Learning 31:23
5) Detecting Malaria 40:54
6) A Neural Network for Fundamental Analysis 49:46

Class project presentations by students in the Stat 453: Introduction to Deep Learning class. See the titles and chapter bookmarks below.

(This video replaces a previous upload with the same title where the last talk was accidentally truncated.)

Non-technical friendly course explaining machine learning and deep learning that everyone can understand.

Full course playlist here: https://www.youtube.com/playli....st?list=PLnrO0TOwDbu

Provides an intuitive explanation for what deep learning models are doing when they find an 'efficient feature representation'
Full course playlist here: https://www.youtube.com/playli....st?list=PLnrO0TOwDbu

Do you miss summer? Get back into summer mood with this rammor summer nostalgia music mix 🌇❤️
With the best summer nostalgia music including rihanna, avicii, justin bieber, kygo, selena gomez, alok, bastille, david guetta, cheat codes, robin schulz, lost frequencies, sam feldt, the chainsmokers, calvin harris, martin garrix, lewis xapaldi, rammor and many more 🌴🔥

👕(ad) get your summer vibes outfit here: https://rammor.shop/products/u....nisex-eco-sweatshirt

🌅 Listen to all the songs on Spotify: https://lost-vibes.link/summernostalgia

🔀Tracklist in the pinned comment :)

❤️Say hi John Skyfield (the guy dancing who also helped me a lot): https://www.instagram.com/johnskyfield/

🔔 Turn on notifications to never miss a new upload!

❤️ Follow RAMMOR:
Instagram: https://bio.to/rammor
Spotify: https://bio.to/rammor
Apple Music: https://bio.to/rammor
Deezer: https://bio.to/rammor
Shop: https://rammor.shop/


Disclosure: The links marked with "*" below are affiliate links. This means that, at zero cost to you, I will earn an affiliate commission if you click through the link and finalize a purchase.

💻Equipment I used:
*DJ-Controller: https://amzn.to/322Bh4L
*MacBook: https://amzn.to/3lx7I5X
*Monitors: https://amzn.to/3a0L7s9
*GoPro's:https://amzn.to/3uUUy5D
*Drone: https://amzn.to/2Yw9yva
*Powerbank: https://amzn.to/2PWcInx

⚠️DISCLAIMER ⚠️ I do NOT own the rights for
the songs used in the videos. These videos are not monetized
and just exist to promote the songs. If there are any problems
PLEASE CONTACT me via email and the video will be taken down
as soon as possible, thanks!


Contact: contact@rammor.de
Booking: booking@rammor.de

Tags:
#summer
#nostalgia
#summervibes

Alan Walker, Dua Lipa, Coldplay, Martin Garrix & Kygo, The Chainsmokers Style 🔥 Summer Vibes #1

#summervibes #deephouse #summermix #2024

🟢 Stream/Download:https://listen.magicrelaxmusic.....com/deep/spotify:au

✔️ Follow Deep Board Channel
➤ Spotify → https://listen.magicrelaxmusic.....com/deep/spotify:au
➤ YouTube → bit.ly/3q32ovP
➤ Facebook → http://bit.ly/magicclub_records
➤ Soundcloud → http://bit.ly/Magicclubrecords
➤ Instagram → https://bit.ly/2T8MkUM
➤ Submit Ur Demo → http://bit.ly/2IF07in

Track list:
00:00 Goja, Magic Phase - Calm Down
03:02 Alex Man, Dj Diac, HALUNA - I’m Blue
06:13 Jessica Chertock - Love Me Like You Do
09:21 Bravo, Le Bober - Faded
12:05 Bliss & Rachel Morgan Perry - The Ocean
14:45 Maria Beyer - Snap
17:33 & Elise Lieberth - In The End
20:22 Martis, HALUNA - Beggin
23:00 Andreea Flavia - Bad Habits
26:00 HALUNA - Hymn For The Weekend
28:35 LexMorris, Veronica Bravo - Flowers
30:50 Martis, Medusa - Señorita
33:39 HALUNA - Sweet But Psycho
36:22 Jessica Chertock - All Around The World
39:06 Michelle Ray - Attention
41:58 HALUNA - Payphone
44:40 Bober, Britt - Sugar
47:37 HALUNA - Summertime Sadness
50:19 Janet Tung - Mood
52:46 Plum, T’art - Sunroof
55:37 Lieberth, Le Bober - Say It Right
58:34 LexMorris, Nito-Onna - Wicked Game
1:01:16 Charis, Kédo Rebelle - Atlantis

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