Media Summary: A Google TechTalk, presented by Ekaterina Kochetkova, 2025-10-23 ABSTRACT: The memory requirements of LLM inference ... ... great contribution was from aua on the genop. And I think it was like a few weeks later that we got this

Recent Developments In Parametricoptinterface Jl - Detailed Analysis & Overview

A Google TechTalk, presented by Ekaterina Kochetkova, 2025-10-23 ABSTRACT: The memory requirements of LLM inference ... ... great contribution was from aua on the genop. And I think it was like a few weeks later that we got this The core of this talk is differentiating parametric programs. DiffOpt can differentiate JuMP and MOI models, and ... AI agents are becoming your most unpredictable users. They chain APIs/tools, ignore assumptions, and act autonomously. "The move towards more sustainable energy systems has brought about

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Recent Developments in ParametricOptInterface.jl | Guilherme Bodin | JuliaCon 2022
ParameterEstimation.jl: Algebraic Parameter Estimation in ODEs | Bassik | JuliaCon Global 2025
Streaming Attention Approximation via Discrepancy Theory
Can ExaModels Power JuMP on GPUs? | Sungho Shin
ORTools.jl: access Google's solvers through JuMP | Cuvelier | Paris 2025
InfiniteMathOptAI.jl: Embedding Surrogates for Infinite-Dimensional Optimization | Joshua Pulsipher
Differentiating Parametric JuMP Models
Optimal Control in Julia: SciML's newest tooling | Rackauckas | Paris 2025
The State of InfiniteOpt.jl | Joshua Pulsipher | JuMP-dev 2025
All that's new and improved in Optimization.jl | Dixit | JuliaCon 2024
Your APIs have a new user: AI Agents (and they don’t follow rules) - Prachi Jamdade
SpineOpt.jl: A highly adaptable modelling framework for multi-energy systems
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Recent Developments in ParametricOptInterface.jl | Guilherme Bodin | JuliaCon 2022

Recent Developments in ParametricOptInterface.jl | Guilherme Bodin | JuliaCon 2022

ParametricOptInterface

ParameterEstimation.jl: Algebraic Parameter Estimation in ODEs | Bassik | JuliaCon Global 2025

ParameterEstimation.jl: Algebraic Parameter Estimation in ODEs | Bassik | JuliaCon Global 2025

ParameterEstimation.

Streaming Attention Approximation via Discrepancy Theory

Streaming Attention Approximation via Discrepancy Theory

A Google TechTalk, presented by Ekaterina Kochetkova, 2025-10-23 ABSTRACT: The memory requirements of LLM inference ...

Can ExaModels Power JuMP on GPUs? | Sungho Shin

Can ExaModels Power JuMP on GPUs? | Sungho Shin

... great contribution was from aua on the genop.

ORTools.jl: access Google's solvers through JuMP | Cuvelier | Paris 2025

ORTools.jl: access Google's solvers through JuMP | Cuvelier | Paris 2025

"ORTools.

InfiniteMathOptAI.jl: Embedding Surrogates for Infinite-Dimensional Optimization | Joshua Pulsipher

InfiniteMathOptAI.jl: Embedding Surrogates for Infinite-Dimensional Optimization | Joshua Pulsipher

And I think it was like a few weeks later that we got this

Differentiating Parametric JuMP Models

Differentiating Parametric JuMP Models

The core of this talk is differentiating parametric programs. DiffOpt can differentiate JuMP and MOI models, and ...

Optimal Control in Julia: SciML's newest tooling | Rackauckas | Paris 2025

Optimal Control in Julia: SciML's newest tooling | Rackauckas | Paris 2025

"Optimal Control in Julia: SciML's

The State of InfiniteOpt.jl | Joshua Pulsipher | JuMP-dev 2025

The State of InfiniteOpt.jl | Joshua Pulsipher | JuMP-dev 2025

InfiniteOpt.

All that's new and improved in Optimization.jl | Dixit | JuliaCon 2024

All that's new and improved in Optimization.jl | Dixit | JuliaCon 2024

All that's

Your APIs have a new user: AI Agents (and they don’t follow rules) - Prachi Jamdade

Your APIs have a new user: AI Agents (and they don’t follow rules) - Prachi Jamdade

AI agents are becoming your most unpredictable users. They chain APIs/tools, ignore assumptions, and act autonomously.

SpineOpt.jl: A highly adaptable modelling framework for multi-energy systems

SpineOpt.jl: A highly adaptable modelling framework for multi-energy systems

"The move towards more sustainable energy systems has brought about

12. Optimisation Tips & Tricks [HPC in Julia]

12. Optimisation Tips & Tricks [HPC in Julia]

In this video we make small