This technical note introduces a reproducible kernel-damping evidence protocol for the SORT-AI Core-3 applications AI.01 (Interconnect Stability Control), AI.04 (Runtime Control Coherence), and AI.13 (Agentic System Stability). These applications span complementary structural coupling regimes in advanced AI systems: physical/interconnect coupling, logical/runtime-control coupling, and semantic/agentic coupling. The protocol evaluates whether declared structural risk-transition scenarios admit a Gaussian kernel-damping reconstruction under the declared canonical SORT scale parameter σ 0 = 0.00190643. The analysis is restricted to the structural analysis layer […]

Ver mais

arXiv:2601.16411v1 Announce Type: new Abstract: Vapnik–Chervonenkis’ theorem is a seminal result in machine learning. It establishes sufficient conditions for empirical probabilities to converge to theoretical probabilities, uniformly over families of events. It also provides an estimate for the rate of such uniform convergence. We revisit the probabilistic component of the classical argument. Instead of applying Hoeffding’s inequality at the final step, we use a normal approximation with explicit Berry–Esseen error control. This yields a moderate-deviation sharpening of the […]

Ver mais

arXiv:2602.11322v1 Announce Type: new Abstract: Current approaches to memory in neural systems rely on similarity-based retrieval: given a query, find the most representationally similar stored state. This assumption — that useful memories are similar memories — fails to capture a fundamental property of biological memory: association through temporal co-occurrence. We propose Predictive Associative Memory (PAM), an architecture in which a JEPA-style predictor, trained on temporal co-occurrence within a continuous experience stream, learns to navigate the associative structure of […]

Ver mais

Amid a surge in cyberattacks, security expert Daniel Dobrygowski shares steps every small to midsize business can take to avoid being an easy target.

Ver mais

arXiv:2602.06071v1 Announce Type: new Abstract: Sparse sketches such as the sparse Johnson-Lindenstrauss transform are a core primitive in randomized numerical linear algebra because they leverage random sparsity to reduce the arithmetic cost of sketching, while still offering strong approximation guarantees. Their random sparsity, however, is at odds with efficient implementations on modern GPUs, since it leads to irregular memory access patterns that degrade memory bandwidth utilization. Motivated by this tension, we pursue a sketch-kernel co-design approach: we design […]

Ver mais

There’s a growing realization across the AI ecosystem that models are no longer the bottleneck. The real constraint is everything around them: data access, governance, orchestration, and the ability to turn outputs into actions. That’s where most enterprise AI projects stall, not because the model isn’t capable, but because it isn’t meaningfully connected to the business. Domo’s latest set of releases quietly tackles that problem head-on. Underneath the surface, what looks like an AI Agent Builder announcement is […]

Ver mais

arXiv:2603.24846v1 Announce Type: new Abstract: Recent advances in multimodal large language models enable new possibilities for image-based decision support. However, their reliability and operational trade-offs in neuroimaging remain insufficiently understood. We present a comprehensive benchmarking study of vision-enabled large language models for 2D neuroimaging using curated MRI and CT datasets covering multiple sclerosis, stroke, brain tumors, other abnormalities, and normal controls. Models are required to generate multiple outputs simultaneously, including diagnosis, diagnosis subtype, imaging modality, specialized sequence, and […]

Ver mais

arXiv:2603.23666v1 Announce Type: new Abstract: Origami-inspired robots offer rapid, accessible design and manufacture with diverse functionalities. In particular, origami robots without conventional electronics have the unique advantage of functioning in extreme environments such as ones with high radiation or large magnetic fields. However, the absence of sophisticated control systems limits these robots to simple autonomous behaviors. In our previous studies, we developed a printable, electronics-free, and self-sustained oscillator that generates simple complementary square-wave signals. Our study presents a […]

Ver mais