Offline-First AI
def optimize_constraints():
# Silicon Valley builds for Cloud.
# We build for the Edge.
connectivity = "Intermittent"
if internet_fails():
run_inference_locally()
return "Healthcare for All"
We research Edge Computing to turn a nurse's $100 smartphone into a world-class radiologist. Our AI works where the internet stops, bridging the last mile of care.
Sovereignty
def train_national_llm():
# Preserving our identity
langs = ["Nepali", "Newari", "Tamang"]
for lang in langs:
# Don't translate. Contextualize.
embed_cultural_nuance(lang)
return "Voice of the Nation"
Global LLMs are deaf to us. Our NLP research creates datasets and architectures for our 120+ languages, ensuring our culture survives and thrives in the digital age.
Governance
import buddhist_principles as dharma
def audit_algorithm(model):
# Ethics is a technical constraint.
if model.is_black_box():
raise TrustError("Explain!")
dharma.apply_ahimsa(model)
return "Wise AI"
We define a new standard for AI Governance by fusing global technical standards with Eastern philosophy. We prioritize privacy (Federated Learning) and trust (XAI).
We develop efficient language and vision models and apply scientific machine learning to physics, ecology, and health.
Our work blends theory, computation, and open science.
Our research spans multiple domains of AI and ML, from scientific discovery to real-world optimization.
"Do LLMs have the ability to solve novel research problems in SciML?"
"Does repetitive translation create loss in meaning while using LLMs?"
"Can we predict droplet impact dynamics and fluid flows using SciML?"
"Is it possible to predict effective chemical reaction pathways using ML?"
"Can we build a useful SLM with a very small dataset?"
"Can we build a comprehensive epidemiological model for COVID using ML?"
"Can we generate timetable schedules without conflicts using multi-constraint optimization?"
"Can we build autonomous agents that navigate GPS-denied, high-altitude terrain?"
Have a novel research problem? Let's work together to solve it.
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