TurboQuant: Redefining AI efficiency with extreme compression
Algorithms & Theory

Algorithms & Theory

Algorithms & Theory

Simplifying and clarifying the assembly code for core operations enabled automated optimization and verification.
Ablation study clarifies trade-offs between accuracy and efficiency when using low-rank adaptation (LoRA) to fine-tune AI models.
Health & Bioscience

By learning the idiosyncrasies of accumulated layers of legacy systems, AI agents can preserve institutional knowledge and provide a unified interface to a range of services.
Climate & Sustainability

Climate & Sustainability

Generative AI
As AI agents become more autonomous, the key challenge isn't what they can do; it's how to design the human side of the equation.


Algorithms & Theory

Human-Computer Interaction and Visualization

Climate & Sustainability

Education Innovation

Algorithms & Theory

Generative AI

Generative AI



Generative AI

Algorithms & Theory

Generative AI


Climate & Sustainability

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Algorithms & Theory

Conferences & Events

Generative AI


Algorithms & Theory


Generative AI

Climate & Sustainability


Algorithms & Theory

Algorithms & Theory

In this post, I’ll introduce a reinforcement learning (RL) algorithm based on an “alternative” paradigm: <strong