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1,074 results

Ash Manifold
Auto-Tune: The Oil Industry Algorithm That Found Music

Through the late 1970s and early 80s one of the harder listening problems in industry had nothing to do with music. Oil companies ...

8:40
Auto-Tune: The Oil Industry Algorithm That Found Music

25 views

1d ago

Latent AI
Dream-RSI: Turning Discovery History into Evolving Worlds

Autonomous AI discovery requires long-horizon exploration across thousands of proposal-evaluation steps. But managing search ...

5:14
Dream-RSI: Turning Discovery History into Evolving Worlds

102 views

3w ago

Expert Stuff
Don't Let AI Choose Your Life: Rebalancing Risk and Curiosity

Is AI making us boring?[1] Every day, we outsource hundreds of choices to algorithms—what to watch, what to listen to, and what ...

8:02
Don't Let AI Choose Your Life: Rebalancing Risk and Curiosity

3 views

13d ago

Amir AI Lab
EvoTune Explained: Evolutionary Program Search Meets Reinforcement Learning (EPFL & Apple)

Google DeepMind's FunSearch proved that LLMs could discover new mathematics by searching in function space. But FunSearch ...

7:59
EvoTune Explained: Evolutionary Program Search Meets Reinforcement Learning (EPFL & Apple)

6 views

13d ago

Chinmoy Pal
Outlier Detection | Finding Hidden Patterns and Anomalies in Data

Outlier detection is an important part of statistics, data science, and machine learning because unusual data points can reveal ...

5:47
Outlier Detection | Finding Hidden Patterns and Anomalies in Data

9 views

3w ago

Polaris QIS Publishing
06. How Does AI Choose the Next Experiment? - AI4S AI4Q

Brief Summary An automated laboratory is useful only if it can decide what to do next. When experiments are costly, testing every ...

7:20
06. How Does AI Choose the Next Experiment? - AI4S AI4Q

4 views

3w ago

Polaris QIS Publishing
06. How Does AI Choose the Next Experiment? - AI4S AI4Q

Brief Summary An automated laboratory is useful only if it can decide what to do next. When experiments are costly, testing every ...

7:29
06. How Does AI Choose the Next Experiment? - AI4S AI4Q

9 views

3w ago

Neuronorithm
Depth First Search (DFS) Algorithm Explained Visually | Code & Examples

Learn the Depth First Search (DFS) algorithm with step-by-step animations, graph traversal examples, and C++ code. Understand ...

15:07
Depth First Search (DFS) Algorithm Explained Visually | Code & Examples

64 views

2d ago

Everyday Marvels
Why Your Feed Knows You: How Recommendation Algorithms Work | Everyday Marvels

Out of billions of videos, your feed picks the next one in about a tenth of a second. This film opens the recommendation machine.

7:21
Why Your Feed Knows You: How Recommendation Algorithms Work | Everyday Marvels

15 views

4d ago

Splainers HQ
Dream-RSI: Can AI Improve Its Own Search Strategy? | Explained

Can AI agents improve how they search for discoveries by learning from their own history? This explainer breaks down ...

8:21
Dream-RSI: Can AI Improve Its Own Search Strategy? | Explained

105 views

3w ago

Helium SEO
Episode 29: Is the Algorithm Getting Smarter, or Are We Just Getting Out of Its Way?

Paul shares a counterintuitive observation: the less he touches Meta, the better it performs. Every time creative gets swapped, ...

18:57
Episode 29: Is the Algorithm Getting Smarter, or Are We Just Getting Out of Its Way?

0 views

2w ago

Zoom-Out
Zoom-Out Diagrams - an introduction and exploration

This video from the year 2020 was meant as a "video note to self" regarding the notion and utility of Zoom-Out Diagrams - inspired ...

10:32
Zoom-Out Diagrams - an introduction and exploration

1 view

7d ago

Abel Sancarlos
The 1933 Algorithm That Decides What You See Online

This algorithm was largely forgotten for decades. Today, it helps shape what you see online. How can Bayesian probability decide ...

13:13
The 1933 Algorithm That Decides What You See Online

47 views

6d ago

Test Automation Nation
BFS explained: Software Developer Interview Preparation

Today we'll dive deeper into the concept of Breadth-First Search (BFS), an algorithm designed to explore graphs and trees layer ...

9:17
BFS explained: Software Developer Interview Preparation

5 views

3w ago

CosmoX
Dream-RSI: Recursive Self-Improvement through Evolving Worlds

Dream-RSI introduces a framework for scalable recursive self-improvement in autonomous AI agents. Existing systems often ...

9:05
Dream-RSI: Recursive Self-Improvement through Evolving Worlds

87 views

3w ago

The Logic Blueprint
DFS Without Recursion: The Explicit Stack Explained

Graph Algorithms and Data Structures become much easier once you understand what controls the order of a graph traversal.

6:14
DFS Without Recursion: The Explicit Stack Explained

156 views

3w ago

Adsorp AI
16.1 Fuzzing Taxonomy and Architecture | Coverage-Guided Fuzzing with AFL++ and LibFuzzer

Discover the foundational architecture behind automated software testing and vulnerability discovery (Part of: Automated ...

19:09
16.1 Fuzzing Taxonomy and Architecture | Coverage-Guided Fuzzing with AFL++ and LibFuzzer

8 views

11d ago

Chinmoy Pal
Building Adam  |  The Mathematics of Adaptive Moments  | Machime Learning

Welcome to the Official Channel of Dr. Chinmoy Pal AI Researcher | Innovator | Doctor Blending Medicine with Machine Learning ...

6:33
Building Adam | The Mathematics of Adaptive Moments | Machime Learning

10 views

4w ago

Quantrove
How the YouTube Algorithm Actually Works (Why Everyone Gets It Wrong)

How the YouTube algorithm actually works, based on published research from the engineers who build it: how recommendation ...

5:20
How the YouTube Algorithm Actually Works (Why Everyone Gets It Wrong)

52 views

3w ago

NcodeAI_Lab
Reinforcement Learning Foundations

Introduction to reinforcement learning, agents and environments, states, actions, rewards, policies, value functions, Q-functions, ...

16:30
Reinforcement Learning Foundations

4 views

6d ago

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