Initiating a paradigm shift in reporting and helping with making ML advances more considerate of sustainability and trustworthiness.
Dependency-graph execution planner using Kahn's Algorithm with priority-aware batching
Per-instance selection over complete executable QAOA simulation actions: representation, adapter, precision and memory policy chosen together, with compatibility decided before performance ranking.
Researching new mathematics and a behavior-first programming language for trustworthy computation.
Advanced Queue Management for NativePHP: Thermal-controlled job processing, battery-friendly idling, and memory safety for mobile PHP environments.
Local-first agent scheduling & runtime. Zero cloud. Runs on your machine only.
Compute-adaptive causal speech denoising in PyTorch with reproducible quality and latency benchmarks.
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