AI research for social good.

We are a student-led initiative dedicated to doing real AI research. We have had 7 NeurIPS acceptances.

Apply to the cohort See our work

Accepted at

2026

Under review at

ReScience C

CollaboratorsUC Berkeley

UC Santa BarbaraPurdue University

Seven papers at NeurIPS 2026.

Seven reproductions under review at ReScience C.

View all papers

01NeurIPS 2026
02ReScience C
03Collaborators

NeurIPS 2026

Workshops and the Creative AI track · December

papers

Scientific ML

RPS

When Does a Fourier Neural Operator Fail? Spectral Diagnostics for Low-Rank Surrogates of Reaction–Diffusion

View paper

Energy demand

FMTS

A Structural Load Model Cannot Predict the Effect of a Conservation Appeal

View paper

Medical imaging

AIDaR

Cartographic Generalization Exposes Non-Uniform Structure Loss in Downsampled Dermoscopy Benchmarks

View paper

Evaluation methods

TAE

Contaminated Ancestors: Seven Ways Our Own Evaluation Protocol Nearly Told Us the Wrong Thing

View paper

Chip design

AI4ChipDesign

Who's to Blame? Actual Causation and Congestion Pricing for Explaining Macro-Placement Failures

View paper

Computational creativity

Creative AI

Restored Lines: A Model Finds the Poet's Hardest Line Breaks and Declines to Write Them

View paper

Computational creativity

Creative AI

The Dead Ear: A Language Model's Inherited Accent Is an Archive, Not an Author

View paper

ReScience C

Under review · [Re] reproduced, [¬Re] did not

reproductions

Scientific ML

[Re]

A Novel CNN Ablation Reveals Limited Fourier Inductive Bias in LiteFNO: A Reproducibility Study

View paper

Medical imaging

[¬Re]

Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm

View paper

Dental imaging

[¬Re]

Diffusion-Based Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-rays

View paper

Cancer genomics

[Re]

Improved survival analysis by learning shared genomic information from pan-cancer data

View paper

Medical imaging

[Re]

MedMNIST v2: Replicating the ResNet baselines and auditing what macro-AUC hides on DermaMNIST

View paper

Protein design

[Re]

Robust deep learning–based protein sequence design using ProteinMPNN

View paper

Medical imaging

[Re]

TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network Design for Detection of Tuberculosis Cases from Chest X-Ray Images

View paper

Collaborators

Researchers from these universities

universities

UC Berkeley
UC Santa Barbara
Purdue University

View all papers

AIforSocialChange&EmpowermentthroughNext-genDevelopment

Run bySTEMise

What we work on

01
Equitable education
AI tutors, AI literacy and teachable STEM materials.
02
Responsible AI tools
Bias detection, privacy and community-informed models.
03
Social impact
Accessibility, environmental justice and workforce readiness.
04
Reproducibility
A claim is worth only the work someone can verify.

Three directors run the lab from California.

Meet the team

Jayvant RajeshHardware and power systems

Chris HuangDental and oral health imaging

Spursh DeshpandeInterpretability and world models

Latest

Sep 29, 2026

Seven papers accepted at NeurIPS 2026

TAEAIDaRFMTSAI4ChipDesignRPSCreative AI

Papers

Aug 22, 2026

Seven reproductions under review at ReScience C

Submissions

Apply to the Winter 2026 to Spring 2027 cohort.

Do research with us this winter and spring.

Start your application Ask a question

Already applied? Sign in to your applicant portal

DeadlineNovember 20, 2026
ApplicationFive short steps

Write to us.

Collaborations and questions welcome.

aiscend.research@gmail.com

AI research for social good.

Seven papers at NeurIPS 2026.

When Does a Fourier Neural Operator Fail? Spectral Diagnostics for Low-Rank Surrogates of Reaction–Diffusion

A Structural Load Model Cannot Predict the Effect of a Conservation Appeal

Cartographic Generalization Exposes Non-Uniform Structure Loss in Downsampled Dermoscopy Benchmarks

Contaminated Ancestors: Seven Ways Our Own Evaluation Protocol Nearly Told Us the Wrong Thing

Who's to Blame? Actual Causation and Congestion Pricing for Explaining Macro-Placement Failures

Restored Lines: A Model Finds the Poet's Hardest Line Breaks and Declines to Write Them

The Dead Ear: A Language Model's Inherited Accent Is an Archive, Not an Author

A Novel CNN Ablation Reveals Limited Fourier Inductive Bias in LiteFNO: A Reproducibility Study

Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm

Diffusion-Based Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-rays

Improved survival analysis by learning shared genomic information from pan-cancer data

MedMNIST v2: Replicating the ResNet baselines and auditing what macro-AUC hides on DermaMNIST

Robust deep learning–based protein sequence design using ProteinMPNN

TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network Design for Detection of Tuberculosis Cases from Chest X-Ray Images

AIforSocialChange&EmpowermentthroughNext-genDevelopment

What we work on

Equitable education

Responsible AI tools

Social impact

Reproducibility

Three directors run the lab from California.

Latest

Seven papers accepted at NeurIPS 2026

Seven reproductions under review at ReScience C

Apply to the Winter 2026 to Spring 2027 cohort.

Write to us.