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43 results

Qubibyte
Qubi Programming Language Tutorial #16: Parametric Sweeps | Qubibyte

In the Qubi Programming Language series, Founder & CEO Trent Rosenthal explains what Qubi is, how it works, and how you ...

15:08
Qubi Programming Language Tutorial #16: Parametric Sweeps | Qubibyte

9 views

5d ago

ACM SIGPLAN
[ICFP'26] LazyHMC: Hamiltonian Monte Carlo simulation for lazy, infinite dimensional(…)

LazyHMC: Hamiltonian Monte Carlo Simulation for Lazy, Infinite Dimensional Probabilistic Programs (Video, ICFP 2026) ...

17:56
[ICFP'26] LazyHMC: Hamiltonian Monte Carlo simulation for lazy, infinite dimensional(…)

22 views

1d ago

Neuro Symbolic
Parametric vs Non Parametric Approaches

In this video, we compare parametric vs. non-parametric machine learning approaches. About this video The Neuro Symbolic ...

6:38
Parametric vs Non Parametric Approaches

794 views

5d ago

a3kino
The Maths Behind The Spinning ASCII Donut

Did you know it's possible to create a rotating 3D donut entirely inside in a terminal, built only from ordinary text characters?

8:43
The Maths Behind The Spinning ASCII Donut

115,495 views

7d ago

ACM SIGPLAN
[ICFP'26] Imprecise Probabilistic Programming, Precisely (Functional Pearl)

Imprecise Probabilistic Programming, Precisely (Functional Pearl) (Video, ICFP 2026) Jack Liell-Cock, and Sam Staton (University ...

16:55
[ICFP'26] Imprecise Probabilistic Programming, Precisely (Functional Pearl)

16 views

1d ago

ACM SIGPLAN
[HOPE'26] Higher-order fork, modally

Higher-order fork, modally (Video, HOPE 2026) Aghilas Boussaa, Wenhao Tang, and Sam Lindley (École normale supérieure ...

17:33
[HOPE'26] Higher-order fork, modally

31 views

1d ago

Steve Brunton
Convex Functions

In this lecture, we introduce a definition for convexity of functions and explores some examples and useful properties of convex ...

16:35
Convex Functions

23,117 views

5d ago

Bibby AI - The Auto-Scientist
ZGCM-1 paper - a fully Open and Extremely Efficient Foundation Model for Math and Agentic Search

In this work, we present ZGCM-1, a fully open 7B dense foundation model trained from scratch with extreme data, system, and ...

8:15
ZGCM-1 paper - a fully Open and Extremely Efficient Foundation Model for Math and Agentic Search

11 views

7d ago

ProArchitect
AI Built This Japanese House - But Not How You Think (Unreal Engine + Rhino)

I created a Japanese House Configurator that works in Unreal Engine and uses Rhino in the background to generate precise ...

11:14
AI Built This Japanese House - But Not How You Think (Unreal Engine + Rhino)

14,049 views

7d ago

Algorista
Getting Around Locus Studio (Tutorial 1)

Meet Locus Studio - a tool that takes the oldest way to draw geometry, compass and straightedge, and makes it live, precise, and ...

6:21
Getting Around Locus Studio (Tutorial 1)

23 views

6d ago

Qubibyte
Qubi Programming Language Tutorial #31: AI Actions | Qubibyte

In the Qubi Programming Language series, Founder & CEO Trent Rosenthal explains what Qubi is, how it works, and how you ...

6:19
Qubi Programming Language Tutorial #31: AI Actions | Qubibyte

3 views

2d ago

ACM SIGPLAN
[ICFP'26] Towards a Higher-Order Bialgebraic Denotational Semantics

Towards a Higher-Order Bialgebraic Denotational Semantics (Video, ICFP 2026) Sergey Goncharov, Marco Peressotti, Stelios ...

18:41
[ICFP'26] Towards a Higher-Order Bialgebraic Denotational Semantics

60 views

1d ago

Hawk Ridge Systems
The 7 Best Ways to Automate Your SOLIDWORKS Designs

Automating tasks in SOLIDWORKS is a great way to improve productivity and make our lives easier. Thankfully SOLIDWORKS ...

11:45
The 7 Best Ways to Automate Your SOLIDWORKS Designs

2,707 views

6d ago

Engr. MMI (Mark)
SpColumn + Grasshopper Workflow

Automating reinforced-concrete column analysis in Grasshopper. In this demo, I use a custom plugin, **SpColumnGH**, ...

5:23
SpColumn + Grasshopper Workflow

52 views

7d ago

François R. JOLY
AI Risk - Module 2: Tools and Techniques - 4.2 - K-Nearest Neighbors & Support Vector Machines

AI Risk Series Module 2. AI Tools, Techniques and Algorithms Section 4: Supervised Learning – Machine Learning & Deep ...

7:42
AI Risk - Module 2: Tools and Techniques - 4.2 - K-Nearest Neighbors & Support Vector Machines

0 views

2d ago

Venus
Why Do We Need Specialized AI Models?

We usually think of AI models as general-purpose systems. But if one model can already work across coding, science, finance, ...

5:28
Why Do We Need Specialized AI Models?

513 views

3d ago

Ahmed Shaikha
Limits 5
12:11
Limits 5

0 views

4d ago

The Formula Hums
I Turned 32 Complex Math Shapes into Sound (And It's Satisfying)

What happens when that infinite mathematical complexity is translated directly into sound? In this video, I transform 32 complex ...

6:24
I Turned 32 Complex Math Shapes into Sound (And It's Satisfying)

6,524 views

5d 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

63 views

5d ago

Maplesoft
Entering Math in Maple

In this video, you will learn how to input mathematical expressions into Maple using various methods including Maple's palettes ...

4:15
Entering Math in Maple

548 views

7d ago

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