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80 results

Nicklaus Millican
Why Maximum Entropy Uses the Lagrangian

In this short lesson, I walk through the geometric intuition behind constrained optimization. We start with the idea of maximizing ...

5:00
Why Maximum Entropy Uses the Lagrangian

22 views

4 days ago

Optimization
Constrained Optimization: Mathematics For Economists-1
8:20
Constrained Optimization: Mathematics For Economists-1

21 views

5 days ago

Steve Brunton
Applications of Optimization

Here we provide a high-level overview of some of the applications of optimization in modern machine learning, physics, and ...

25:23
Applications of Optimization

11,320 views

2 days ago

Practical stats
How Lagrange Discovered the Multiplier (Math History)

... letter where a 19-year-old Joseph-Louis Lagrange showed Leonhard Euler how to solve constrained optimization algebraically.

6:12
How Lagrange Discovered the Multiplier (Math History)

330 views

3 days ago

3Blue1Brown
But what is cross-entropy? | Compression is Intelligence Part 2

Where the loss function for training LLMs comes from. Job opportunities aligned to this audience: https://3b1b.co/talent Early views ...

33:51
But what is cross-entropy? | Compression is Intelligence Part 2

274,120 views

1 day ago

Lustful
Lagrange Multipliers Example: Maximize e^(-(x²+y²)) Subject to 2x + y = c

Topics Covered: Lagrange Multipliers Constrained Optimization Multivariable Calculus Partial Derivatives Finding Stationary ...

11:25
Lagrange Multipliers Example: Maximize e^(-(x²+y²)) Subject to 2x + y = c

13 views

4 days ago

Dr. Omid Gervei
The Secrets of SVM | C, Gamma, Kernels & Hyperparameter Tuning Explained

Support Vector Machines are often introduced with a simple decision boundary and a maximum margin—but the most important ...

14:51
The Secrets of SVM | C, Gamma, Kernels & Hyperparameter Tuning Explained

15 views

3 days ago

Vecura
Lead Optimization on Vecura: Models, Methods & Use Cases

Lead optimization — refining early hits into candidates with better potency, selectivity, and ADMET properties — is another stage ...

1:50
Lead Optimization on Vecura: Models, Methods & Use Cases

4 views

6 days ago

MATLAB
Embedded AI in Engineered Systems with MATLAB and Simulink

Design embedded AI systems using MATLAB and Simulink, covering the complete workflow from data preparation and model ...

1:17
Embedded AI in Engineered Systems with MATLAB and Simulink

1,772 views

4 days ago

Takashi's Sports & Exercise Science
From Pixels to Biomechanics — 4 AI Papers Putting the Lab in Your Pocket

Pipeline: WHAM pose estimation → constrained optimization → musculoskeletal simulation. Clinically acceptable accuracy on ...

3:56
From Pixels to Biomechanics — 4 AI Papers Putting the Lab in Your Pocket

8 views

1 day ago

Learning Bayesian Statistics
#161 Amortized Inference & Neural Processes, with Luigi Acerbi

Support & Resources → Support the show on Patreon: https://www.patreon.com/c/learnbayesstats → Bayesian Modeling Course ...

1:32:15
#161 Amortized Inference & Neural Processes, with Luigi Acerbi

76 views

1 day ago

Modo Energy and Renewable Exchange
Why Renewables Are Changing How Power Gets Priced - Renewable Exchange

Many people picture a power purchase agreement as a 15-year mega-deal between a tech giant and a solar farm. In reality, 99% ...

44:08
Why Renewables Are Changing How Power Gets Priced - Renewable Exchange

1,908 views

3 days ago

Krisvik AI
26B LLM on Old Xeon CPU: The Extreme Deployment Blueprint

Thought modern AI needed expensive GPUs? Think again. In this deep dive (540s), we detail the blueprint for running a massive ...

3:08
26B LLM on Old Xeon CPU: The Extreme Deployment Blueprint

4 views

1 day ago

RestlessMinds
Bonsai 27B: High-Performance Low-Bit Reasoning for Edge Devices

What happens when frontier-class AI reasoning no longer requires a cloud data center? In this video, we examine **Bonsai 27B**, ...

8:00
Bonsai 27B: High-Performance Low-Bit Reasoning for Edge Devices

103 views

2 days ago

Theoretical Neurobiology Group
Active Inference as theTest-Time Scaling Law for Physical AI Agents – Omar Hashash

In this talk, we will uncover how active inference can serve as a test-time scaling law for physical AI agents (e.g., autonomous ...

2:25:56
Active Inference as theTest-Time Scaling Law for Physical AI Agents – Omar Hashash

26 views

13 hours ago

TEMBODocs
The Kinetic Blueprint: Why Modern Physics Still Can't Replicate Bruce Lee #tembodocs #thehumanmind

How did Bruce Lee generate devastating power from only one inch away? In this biomechanical breakdown, we explore the ...

5:42
The Kinetic Blueprint: Why Modern Physics Still Can't Replicate Bruce Lee #tembodocs #thehumanmind

3 views

2 days ago

Reson8-Labs
RESON8:STEER - AI, Self-Healing Architecture

Sub-Riemannian Heat Kernel Strain Log: Ingesting apparent-pairs optimization. Hypoelliptic diffusion tightly constrained via ...

7:33
RESON8:STEER - AI, Self-Healing Architecture

4 views

4 days ago

AI WITH Rithesh
DPO: Alignment Without Reinforcement Learning

DPO gets RLHF-quality results with one piece of algebra and no RL loop at all. This video derives it from the RLHF optimum and ...

4:54
DPO: Alignment Without Reinforcement Learning

30 views

3 days ago

Optatube
Nodal vs Zonal Pricing: Which Electricity Market Design Is Better?

Why does electricity cost different amounts in different places? Why do some power markets use one price while others have ...

6:37
Nodal vs Zonal Pricing: Which Electricity Market Design Is Better?

13 views

4 days ago

Maksimka
You Are NOT the Main character

Are you the main character of your life, or just an avatar executing biological code? This video explores the neuroscience of free ...

15:12
You Are NOT the Main character

1 view

12 hours ago