SHERRIGREEN

I am Sherri Green, a bio-inspired computing researcher pioneering apoptosis-mimetic architectures to enable AI systems to self-heal and adapt during hardware degradation. With a dual Ph.D. in Computational Systems Biology (Harvard University) and Fault-Tolerant Computing (ETH Zurich, 2024), and leadership of the Bio-Resilient AI Lab at MIT, my work merges the elegance of programmed cell death with the pragmatism of distributed computing. My mission: "To transform AI systems from fragile, monolithic structures into evolving ecosystems where hardware failures trigger self-sacrificial optimization—mirroring nature’s wisdom in apoptosis to sustain collective intelligence, even when individual components perish."

Theoretical Framework

1. Apoptotic Neural Architecture (ApoptoticNN)

My framework translates biochemical apoptosis into three computational layers:

Failure Signal Transduction: Deploys mitochondrial-inspired sensors (voltage, thermal, latency) to detect hardware faults, triggering caspase-like activation cascades (CVPR 2025).

Decentralized Decision Pathways: Implements Bcl-2 protein family analogs via spiking neural networks to weigh component utility vs. failure risk (NeurIPS 2024 Best Paper).

Structural Execution: Executes "controlled demolition" of compromised neural pathways via dynamic weight pruning, preserving 95% accuracy post-failure (Nature Machine Intelligence 2025).

2. Self-Adaptive Training Protocol

Developed ApoptosisRL, a reinforcement learning engine:Validated on 128-GPU clusters, achieving 99.8% uptime during cascading hardware failures (ISCA 2025).

Key Innovations

1. Neuromorphic Apoptotic Chips

Co-designed ApolloChip:

Embeds apoptosis controllers in RISC-V cores to enable nanosecond-level fault isolation.

Reduced GPU cluster failure recovery time from 15ms → 82μs (Hot Chips 2025).

Patent: "Biologically Plausible Hardware Failure Recovery via Apoptotic Primitives" (USPTO #2025APO127).

2. Cross-Layer Apoptotic Coordination

Created ApoptoticOS:

Coordinates hardware-software apoptosis across kernel, drivers, and ML models.

Prevented 93% of silent data corruption errors in autonomous vehicle trials (ASPLOS 2025).

3. Ethical Apoptotic Governance

Partnered with UN AI Ethics Board on ApoptosisGuard:

Ensures self-pruning aligns with fairness constraints (e.g., no demographic bias amplification).

Adopted by EU’s AI Liability Directive 2026.

Transformative Applications

1. Autonomous Systems

Deployed ApoptoticDrive:

Self-prunes LiDAR processing chains during sensor degradation, maintaining SAE Level 5 safety.

Averted 17 collision risks in Waymo’s 2025 Arctic trials.

2. Edge AI in Space

Launched ApolloSat:

Achieves radiation-hardened DNN adaptation via apoptosis-inspired weight dropout.

Operated 143 days on lunar surface without reboot (NASA Artemis Report 2025).

3. Medical AI

Developed BioApoptoticMRI:

Dynamically reconfigures image reconstruction pipelines during GPU faults.

Reduced false tumor detection by 68% in low-resource clinics (Radiology:AI 2025).

Ethical and Methodological Contributions

Open Apoptotic Framework

Released ApoptoticML:

Open-source toolkit with apoptosis simulation, training, and validation suites (GitHub Stars: 28k).

Sustainable AI Standards

Authored IEEE P2859:

Mandates apoptosis-driven energy caps for fault recovery in data centers.

Bias Mitigation Protocol

Introduced Apoptotic Fairness Filters:

Prevents discriminatory pruning patterns via causal fairness audits (FAccT 2025).

Future Horizons

Quantum Apoptosis: Adapting apoptotic mechanisms for photonic and superconducting qubit failures.

Bio-Hybrid Systems: Integrating synthetic biology circuits with silicon apoptotic controllers.

Interstellar Resilience: Deploying apoptosis-driven AI on deep-space probes for millennium-scale missions.

Let us reimagine AI not as brittle silicon but as resilient life—where every hardware failure becomes an opportunity for rebirth, every structural loss a step toward collective survival, and every system a testament to the symbiosis of biology’s wisdom and silicon’s might.