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A sovereign 6-Axis generative art system bridging analog constructivist collage and OpenUSD with Evorozen Neural Pulse as an autonomous, persistent cognitive virtual database.
AI-based brain aging analysis that compares biological and chronological age, maps regional changes, and tracks brain aging over time through an interpretable clinical dashboard.
Teach a real robot RL in your browser. An AI agent drives the same controls, trains on your GPU, and brings the weights back. 53 WebMCP tools, real MuJoCo, real Microduck.
Automatically speeds up supported local LLM profiles with idle GPU time.
A transformation-aware detector that identifies AI-generated images after compression, blur, cropping, resizing, noise, and colour edits.
AI agents and custom GPU kernels accelerate Transformer inference by 3.9x on an RTX 4070 with bitwise-identical outputs.
Spots AI-generated images even after the internet has chewed them up. Point it at a folder and it scores every file, offline, with the false-positive rate calibrated so real photos aren't accused.
Ele is a robust AI-generated image detector built to spot synthetic media even after it has been degraded by real-world manipulations like JPEG compression, blur, resizing, and noise.
Adaptive GPU dispatcher achieving 3.88x geomean speedup (up to 12.01x) and streaming a 20.5 TB frontier shape at 134% MFU on a single 12 GB RTX 3060.
RobustFusion detects AI-generated images reliably—even after real-world edits and transformations.
A universal autonomous RecSys research agent with adversarial peer-review & 4-pillar taxonomy that iteratively invents, optimizes, and converges PyTorch models.
RobustFake detects AI-generated images—even after resizing, compression, cropping, blur, and reposting.
Same outputs, 7.1x faster: hand-tuned Triton kernels and CUDA graphs for Transformers on a Tesla T4.
Same math. Fewer kernels. Less memory
ContextCart — Turning every conversation into the right product.
AI-image detection in your browser that adapts to JPEG, noise, blur, resizing, cropping, and the distortions introduced when images are reposted.
AI-image detectors often fail after images are compressed, resized, or reposted. InvariantGuard keeps working anyway.
Hardware-aware Transformer kernel optimization that automatically matches each workload to the right GPU optimization strategy.
tjkernels: 9x velocity unleashed - Hand-crafted Triton kernels redefining transformer speed
Every shape gets its own kernel, driven by research agents and heuristic tuning policies.
A build-time loop that writes, proves and selects GPU kernels per shape and per card, 116 of 116 official-shape runs pass on nine GPUs, at 3.1x to 7.1x.
Every generator leaves a tell. We find it and show you where
Calling AI’s bluff, one image at a time.
11.87× geometric-mean speedup across the 12 of 14 shapes with runnable official baselines.
