AiScend Research is a collaborative initiative between STEMise and NXT Horizon focused on responsible AI for social empowerment.
The lab connects AI research with education and social good. Its community-driven applications emphasize equity, access, reproducibility, and transparency.
- Creative AI track
- RPS
- TAE
- AIDaR
- AI4ChipDesign
- FMTS
- ReScience C
- Creative AIRestored Lines: A Model Finds the Poet’s Hardest Line Breaks and Declines to Write Them
Uses token-level predictive entropy to find the hardest line breaks in a poem and has the model stop short of writing them.
- Creative AIThe Dead Ear: A Language Model’s Inherited Accent Is an Archive, Not an Author
Measures the meter and word choice a language model inherits from its pretraining corpus and argues the resulting voice is recall of that corpus rather than writing of its own.
- RPSWhen Does a Fourier Neural Operator Fail? Spectral Diagnostics for Low-Rank Surrogates of Reaction–Diffusion
Derives spectral diagnostics that predict when mode truncation makes a Fourier neural operator surrogate lose accuracy on reaction-diffusion systems.
- TAEContaminated Ancestors: Seven Ways Our Own Evaluation Protocol Nearly Told Us the Wrong Thing
Walks through seven flaws in our own evaluation protocol, from ancestral sequence leakage to train-test contamination, that each gave us a wrong answer before being caught.
- AIDaRCartographic Generalization Exposes Non-Uniform Structure Loss in Downsampled Dermoscopy Benchmarks
Uses cartographic generalization metrics to measure how downsampling dermoscopy benchmarks strips away lesion structure unevenly across diagnostic classes.
- AI4ChipDesignWho’s to Blame? Causal Responsibility Attribution for Macro Placement
Uses causal responsibility attribution to work out which individual macro placements are responsible for later wirelength and timing problems.
- FMTSA Structural Load Model Cannot Predict the Effect of a Conservation Appeal
Shows that a structural load forecasting model cannot separate out the drop in demand caused by a public conservation appeal.
Researchers we've collaborated with are affiliated with these institutions. Logos do not indicate institutional sponsorship or endorsement.