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297 results

J and Beyond e.V.
JD25DACH  - Dr. Strangelove or: How I Learned To Stop Worrying And Love The AI [EN]

Von Nicholas K. Dionysopoulos Generative AI is everywhere. But what exactly is it? And how exactly can you use it in Joomla to ...

44:39
JD25DACH - Dr. Strangelove or: How I Learned To Stop Worrying And Love The AI [EN]

8 views

3 days ago

CampusX
How to Setup Claude Code on your System | Run Claude for Free | CampusX

Code - https://drive.google.com/file/d/13Z6rvIrUjJm2b3Ps_6AX1rHNYHm9KVhq/view?usp=sharing In this video, we are setting up ...

26:36
How to Setup Claude Code on your System | Run Claude for Free | CampusX

58,522 views

6 days ago

Riffomonas Project
How do you modify a figure from a paper to use in a presentation? (CC410)

In this livestream, Pat refactors a plot from a paper his research group published in the journal MBio with an eye towards ...

1:47:36
How do you modify a figure from a paper to use in a presentation? (CC410)

585 views

Streamed 3 days ago

Nidhi Singh
How to Build Your First AI Agent from Scratch

Build your first AI agent with the Claude Agent SDK (TypeScript). In this video, you will learn the pattern to build any AI agent, ...

14:34
How to Build Your First AI Agent from Scratch

236 views

4 days ago

CodeEmporium
DINO - Explained!

... Probability Theory for Machine Learning: https://youtube.com/playlist?list=PLTl9hO2Oobd9bPcq0fj91Jgk_-h1H_W3V ⭕ Coding ...

24:06
DINO - Explained!

612 views

5 days ago

CampusX
Slash Commands in Claude Code | CampusX

In this video, you’ll learn how to use Slash Commands in Claude Code to speed up your development workflow and avoid repeating ...

31:28
Slash Commands in Claude Code | CampusX

12,211 views

4 days ago

Ramy Zeineldin
Lec 4: Data-driven Learning - Deep Learning Basics (Part 1) | CSE351 Computer Vision | Spring 2026

It shifts focus from manual feature engineering to machine learning, where the model learns from data to identify objects.

55:10
Lec 4: Data-driven Learning - Deep Learning Basics (Part 1) | CSE351 Computer Vision | Spring 2026

39 views

5 days ago

Creative Inventions
Millions Don’t Know This Secrets! Easy Way To Build A Smart Wood Saw That Anyone Can Make

Millions Don’t Know This Secrets! Easy Way To Build A Smart Wood Saw That Anyone Can Make https://www.youtube.com/watch?v ...

8:01
Millions Don’t Know This Secrets! Easy Way To Build A Smart Wood Saw That Anyone Can Make

13,839 views

6 days ago

AI Brain 🧠🌐
AI Tools for Research : Why You Need These AI Productivity Tools in 2026 (Full Review)

Grant Discovery: Instantly find and summarize machine learning opportunities. Automated Presentations: Transform raw data into ...

5:01
AI Tools for Research : Why You Need These AI Productivity Tools in 2026 (Full Review)

5,373 views

1 day ago

PyCascades
PyCascades 2026: Day 1

PyCascades Day 1 View the full schedule here: https://2026.pycascades.com/program/schedule/ Captions via StreamText ...

8:55:36
PyCascades 2026: Day 1

111 views

Streamed 7 days ago

PyCon Greece
Panagiotis Moustafellos: Query like a Pro: ES|QL meets Apache Arrow and Pandas

PyCon Greece 2025 - Athens, 29-30 August Sponsored talk by Elastic == About the talk == In this talk, we'll dive into how ES|QL ...

23:10
Panagiotis Moustafellos: Query like a Pro: ES|QL meets Apache Arrow and Pandas

3 views

3 days ago

Agentic-AI
How to Master Long-Context Memory: Beyond the Failure of Traditional RAG

Retrieval-Augmented Generation collapses when fragmented chunks lose their semantic soul, so we must pivot from static vector ...

5:26
How to Master Long-Context Memory: Beyond the Failure of Traditional RAG

2 views

4 days ago

Institute for Pure & Applied Mathematics (IPAM)
Amanda Howard - Multifidelity, domain decomposition, stacking for training physics-informed networks

Recorded 23 March 2026. Amanda Howard of Pacific Northwest National Laboratory presents "Multifidelity, domain ...

43:18
Amanda Howard - Multifidelity, domain decomposition, stacking for training physics-informed networks

228 views

5 days ago

Agentic-AI
SKILL.md Guide to Building AI Agent Capabilities

SKILL.md Guide to Building AI Agent Capabilities MY AI BOOKS: Explore all my books on AI agents, automation, and intelligent ...

6:07
SKILL.md Guide to Building AI Agent Capabilities

1 view

6 days ago

Gregory Moses
Math 302 Unit 2 Lesson 3 PCA example one dimension

We look at an application of PCA in one dimensions. Please be aware that PCA is a dimension-reduction tool, not a cluster-find ...

16:11
Math 302 Unit 2 Lesson 3 PCA example one dimension

11 views

6 days ago

AUTOHOTKEY Gurus
4 Ways to Access CLAUDE AI 💻 Most People Pick the WRONG One!

Summary* This video provides a comprehensive guide to Anthropic's four access methods for Claude AI: CLI (Command Line ...

4:45
4 Ways to Access CLAUDE AI 💻 Most People Pick the WRONG One!

126 views

5 days ago

CampusX
Making Code Changes using Claude Code | How to Add Image as Context

Code - https://github.com/campusx-official/spendly

22:02
Making Code Changes using Claude Code | How to Add Image as Context

6,282 views

2 days ago

Derek Harter
CSci 574 / AI 520 Machine Learning Class Sessions (Tue 03/24/2026)

CSci 574 / AI 520: Machine Learning Live Stream Class Sessions East Texas A&M University.

1:07:40
CSci 574 / AI 520 Machine Learning Class Sessions (Tue 03/24/2026)

23 views

Streamed 4 days ago

Ai Guru
What made Attention SO transformative in Sequence to Sequence Models

Language Modelling :https://www.youtube.com/playlist?list=PLMIHypEMTeA8xcdWpct1dDd3sWgFvA_KQ Neural Networks ...

19:52
What made Attention SO transformative in Sequence to Sequence Models

31 views

2 days ago

Friday Talks Tübingen
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding

Friday Talks - 20260306 https://fridaytalks.github.io Speaker: Alexander Conzelmann https://conzel.github.io/ Title: Reducing ...

11:36
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding

27 views

3 days ago