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Atmrix

About

CS

Carola Schönlieb

05/10/18

@ Y Combinator

In a sequential manner, we adapt our objective while processing images, rather than feeding all images at once, which allows for better optimization.

Video

YC

Mathematical Approaches to Image Processing with Carola Schönlieb

@ Y Combinator

Mathematical Approaches to Image Processing with Carola Schönlieb

05/10/18

Related Takeaways

G

Google Cast

05/21/25

@ Google

We've developed a super fast variant of Imagen 4 that is ten times faster than our previous model, enabling quick iterations on ideas.

CS

Carola Schönlieb

05/10/18

@ Y Combinator

In collaborations with hospitals, we focus on developing algorithms that maximize the quality of high-resolution images from limited data, particularly in medical imaging.

MZ

Mark Zuckerberg

04/30/25

@ Dwarkesh Patel

As AI becomes more integrated into various applications, we need to optimize for specific internal use cases, which may lead us to use other models if they better serve those needs.

LQ

Lin Qiao

05/19/25

@ Sequoia Capital

To optimize AI applications, we need to predict multiple tokens at once, align hardware selection with application needs, and implement various tuning mechanisms for quality.

JD

Jeff Dean

08/08/17

@ Y Combinator

We aim to reduce the time it takes to train models, allowing engineers to conduct multiple experiments simultaneously and improve workflow efficiency.

JL

Joan Lasenby

09/17/18

@ Y Combinator

We're using drones to analyze the built environment, focusing on processing lines rather than points, which is traditionally more challenging in computer vision.

L

LangChain Cast

12/18/24

@ LangChain

Our architectural choices, such as multi-query attention, enabled us to control speed and latency more precisely without hurting user engagement.

YC

Y Combinator Cast

12/14/24

@ Y Combinator

Companies are increasingly using multiple AI models for different tasks, optimizing performance by selecting the best model for each specific application.

O

OpenAI Cast

04/11/25

@ OpenAI

The bottleneck in scaling AI systems can vary, but optimizing code design can help adapt workloads to the existing infrastructure, balancing resource demands effectively.