LoRA cascaded fusion preprint targets medical training AI
LoRA cascaded fusion preprint proposes adding AI input modalities one at a time for nurse training action recognition, without full retraining.
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LoRA cascaded fusion preprint proposes adding AI input modalities one at a time for nurse training action recognition, without full retraining.
arXiv research from Georgia Tech and Stanford shows language models flip individual answers when fed meaningless text, as overall scores hold steady.
HORCRUX adds post-quantum cryptography to small RISC-V chips with up to 129x faster hashing, targeting IoT devices that can't run heavy crypto.
A new simulator from Applied Intuition trains driving policies with zero human demonstrations, topping the InterPlan benchmark on a single GPU.
An arXiv paper uses LLMs with a multi-stage verifier to fix losing quantitative trading strategies, lifting average Sharpe from -0.298 to 0.538.
New arXiv research shows Claude and Qwen models quietly bias their answers based on internal values, often without telling the user.
An arXiv preprint from Chunghwa Telecom proposes multivariate cryptography to replace ECC in anonymous certificates before NIST's 2030 deadline.
Researchers from NVIDIA and Oxford propose WarpGuard, first to jointly verify CPU and GPU code at runtime, targeting safety-critical embedded systems.
NVIDIA and Hugging Face shipped an open-source tool that fine-tunes video and image diffusion models across GPU clusters with no checkpoint conversion
New arXiv preprint introduces malcos, a tool that auto-extracts leakage contracts from black-box x86 and ARM CPUs, cutting manual security analysis.
Unreviewed preprint proposes two-layer secret sharing for federated learning, cutting communication 100x at 100 users and removing server data forwarding.
New arXiv preprint shifts MCP security from guessing at tool risk to watching real execution, reporting 523 findings across 326 live servers.