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<!DOCTYPE html>
<html lang="en" class="h-full">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<title>WeightedAI – Research Collective</title>
<meta
name="description"
content="WeightedAI is a research collective exploring state-of-the-art AI and ML, from foundation models to robust optimization and tooling."
/>
<!-- Tailwind CSS via CDN (for rapid modern styling) -->
<script src="https://cdn.tailwindcss.com?plugins=typography"></script>
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accent: '#f5f5f5',
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border: '#1f1f1f',
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</script>
<!-- React + ReactDOM via CDN -->
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<style>
html,
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</head>
<body class="h-full bg-background text-foreground antialiased">
<div id="root" class="min-h-screen"></div>
<script type="text/javascript">
const { useState, useEffect } = React;
const sections = [
{ id: 'about', label: 'About' },
{ id: 'areas', label: 'Research' },
{ id: 'projects', label: 'Projects' },
{ id: 'team', label: 'People' },
{ id: 'contact', label: 'Contact' },
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return (
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React.createElement(
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React.createElement(
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React.createElement(
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React.createElement(
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React.createElement(
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React.createElement(
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'View projects'
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React.createElement(
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React.createElement(
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React.createElement(
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'2025. Q4'
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React.createElement(
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React.createElement(
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React.createElement(
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React.createElement(
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'Lightweight harnesses for tracking reliability, latency and cost under real-world workloads.'
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React.createElement(
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'Always open to collaborations around agents, retrieval, and ML systems engineering.'
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children,
right
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function About() {
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React.createElement(
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{
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},
React.createElement(
'div',
{ className: 'prose prose-invert max-w-none text-sm leading-relaxed' },
React.createElement(
'p',
null,
'WeightedAI is a research group focused on practical AI/ML systems. We are interested in how models behave under constraints of data, compute and human time — and how to design interfaces and infrastructure that respect those limits.'
),
React.createElement(
'p',
null,
'We prefer small, composable tools over monoliths. We experiment with foundation models, retrieval, agents and evaluation, then distill what works into open projects, notes and prototypes.'
)
)
)
);
}
function Areas() {
const topics = [
{
title: 'Model-weighted interfaces',
body: 'Search, routing and recommendation layers that combine embeddings, retrieval and tools to steer model behaviour.',
},
{
title: 'Evaluation & reliability',
body: 'Designing evaluation loops that measure robustness, regressions and cost, not just benchmarks.',
},
{
title: 'Agents & tooling',
body: 'Practical agentic patterns for code, research and data workflows, with an emphasis on debuggability.',
},
{
title: 'Learning from usage',
body: 'Closing the loop between usage data and model configuration, prompts and routing policies.',
},
];
return (
React.createElement(
SectionShell,
{
id: 'areas',
eyebrow: 'RESEARCH AREAS',
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React.createElement(
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React.createElement(
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{ className: 'text-[0.88rem] font-medium text-foreground' },
t.title
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React.createElement(
'p',
{ className: 'text-[0.78rem] text-muted leading-relaxed' },
t.body
)
)
)
)
)
);
}
function Projects() {
const projects = [
{
label: 'SemiDeep',
status: 'ICMLT 2025',
href: 'https://github.com/WeightedAI/semideep',
description:
'PyTorch implementation of "Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights". Distance-based weighting and weighted losses for robust semi-supervised classification.',
},
{
label: 'SemiCART',
status: 'IJMLC 2024',
href: 'https://github.com/WeightedAI/semicart',
description:
'Semi-supervised decision tree algorithm extending CART with distance-based weighting and a modified Gini index. scikit-learn compatible and evaluated across multiple benchmark datasets.',
},
{
label: 'Persian OCR',
status: 'Model & dataset',
href: 'https://huggingface.co/WeightedAI/Persian_OCR',
description:
'OCR model and synthetic sentence dataset for Persian text recognition, released on Hugging Face together with the dataset WeightedAI/Persian_OCR_synth_sentences_100k.',
},
];
return (
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{
id: 'projects',
eyebrow: 'PROJECTS',
title: 'Selected work and directions.',
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React.createElement(
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{
key: p.label,
className:
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React.createElement(
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{ className: 'space-y-1' },
React.createElement(
'div',
{ className: 'flex items-center gap-3' },
React.createElement(
p.href ? 'a' : 'span',
Object.assign(
{
className:
'text-[0.86rem] font-medium tracking-tight text-foreground',
},
p.href
? {
href: p.href,
target: '_blank',
rel: 'noreferrer',
className:
'text-[0.86rem] font-medium tracking-tight text-foreground border-b border-border hover:border-foreground',
}
: null
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p.label
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React.createElement(
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{
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p.status
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className:
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p.description
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}
function Team() {
const members = [
{
name: 'WeightedAI collaborators',
role: 'Researchers & engineers',
blurb:
'We collaborate with people who enjoy careful measurement, clean interfaces and long-term projects.',
},
];
return (
React.createElement(
SectionShell,
{
id: 'team',
eyebrow: 'PEOPLE',
title: 'Small, focused, and often collaborating.',
},
React.createElement(
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members.map((m) =>
React.createElement(
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{
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className:
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React.createElement(
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{ className: 'space-y-1' },
React.createElement(
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{ className: 'text-[0.86rem] font-medium text-foreground' },
m.name
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React.createElement(
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{ className: 'text-[0.74rem] uppercase tracking-[0.18em] text-muted' },
m.role
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React.createElement(
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{
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},
m.blurb
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),
React.createElement(
'p',
{ className: 'pt-1 text-[0.75rem] text-muted' },
'If you are exploring similar directions and want to compare notes or co-develop tools, reach out.'
)
)
)
);
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React.createElement(
SectionShell,
{
id: 'contact',
eyebrow: 'CONTACT',
title: 'Lightweight by default. Heavyweight where it matters.',
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React.createElement(
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{ className: 'space-y-5 text-sm' },
React.createElement(
'p',
{ className: 'max-w-xl text-muted leading-relaxed' },
'We are open to conversations around research collaborations, early-stage product work, and infrastructure that needs careful AI/ML integration.'
),
React.createElement(
'div',
{ className: 'space-y-2 text-[0.78rem]' },
React.createElement(
'p',
{ className: 'text-muted' },
'For now, the easiest way to reach us is via email, GitHub, Medium, or Hugging Face:'
),
React.createElement(
'div',
{ className: 'flex flex-col gap-1' },
React.createElement(
'a',
{
href: 'https://github.com/WeightedAI',
className:
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},
'github.com/WeightedAI'
),
React.createElement(
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{
href: 'https://medium.com/@weighted-ai',
className:
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},
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),
React.createElement(
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{
href: 'https://huggingface.co/WeightedAI',
className:
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},
'huggingface.co/WeightedAI'
)
)
),
React.createElement(
'p',
{ className: 'pt-4 text-[0.7rem] text-muted' },
'This page is intentionally minimal. Most of the work happens in repos, notebooks and conversations.'
)
)
)
);
}
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React.createElement(
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{
className:
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React.createElement(
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className:
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React.createElement(
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new Date().getFullYear()
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React.createElement(
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React.createElement(
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return (
React.createElement(
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{ className: 'min-h-screen bg-background text-foreground' },
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}
const rootEl = document.getElementById('root');
const root = ReactDOM.createRoot(rootEl);
root.render(React.createElement(App));
</script>
</body>
</html>