Code Studio AI Research Lab
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13 repositories
- Neuromorphic Code Compiler. Tokenizes EEG brain-neural patterns and compiles neural intent into functional programming syntax (Node.js/Flutter) using deep learn…
Context-Aware-ZeroUI
PublicContext-Aware UI Adaptation for Zero-UI Environments. Implements spatial layout optimization, dynamic privacy masking, and eye-gaze tracking telemetry algorithm…Bio-Processing-Units-BPU
PublicBiodegradable Digital Logic & Computational Matter. Simulates and models Biological Processing Units (BPUs) using DNA-based storage and organic protein logic ci…- Decodes and digitizes molecular chemical structures into digital odor codes (similar to RGB for vision) to enable scent transmission, virtual reality integratio…
- Plant-to-Human Translation Model. Captures, processes, and translates plant bio-electrical action potentials into actionable, human-readable text notifications …
.github
PublicTrustMed-RAG-Framework
PublicTrustMed-RAG: A Verification-Driven Retrieval-Augmented Generation framework. Implements dual-stage verification loops to guarantee factual accuracy and elimina…- "Robustness and Reliance: How Bangla–English Code-Mixing Affects Clinical Language Models and the Clinicians Who Use Them". Evaluates clinical LLM vulnerabiliti…
- BanglaASR-Dial: An Automatic Speech Recognition framework for regional Bangla dialects. Fine-tunes Meta's Wav2Vec 2.0 architecture to accurately transcribe dive…
- Implementation of a multi-modal data fusion framework for Early-Onset Alzheimer’s detection. Competently fuses retinal imaging, speech patterns, and genomic dat…
- A multi-modal generative deep learning framework for de novo antibiotic molecule design to combat antimicrobial resistance (AMR) and accelerate computational dr…
Self-Explaining-LLM
PublicOfficial PyTorch implementation of a mechanistic interpretability framework for Self-Explaining LLMs. Generates real-time mathematical provenance and logical ex…- Research on green, sustainable AI: Architecting energy-efficient Transformers via real-time pruning and dynamic sparsification for low-power edge computing.
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