arXiv:2608.16956v1 Announce Type: new Abstract: API buyers purchase a dated contract, not a model name alone: the contract includes the requested and…
Category: AI
Information-Theoretic Causal Modelling of Semiconductor Process Dynamics
arXiv:2608.14678v1 Announce Type: cross Abstract: With the progress of the semiconductor industry toward increasingly complex compute devices and tighter…
Take it Personally: The Limits of General SSL Representations for Real-Life PPG Emotion Detection
arXiv:2608.14675v1 Announce Type: cross Abstract: While Self-Supervised Learning (SSL) effectively extracts general representations from noisy,…
BRA-Audit: Budgeted Runtime Auditing for LLM Multi-Agent Systems via Cumulative-Exposure Audit-Point Placement
arXiv:2608.14668v1 Announce Type: cross Abstract: LLM-based multi-agent systems (LLM-MAS) solve complex tasks through specialized collaboration, but…
Offline Ambient-Controlled Latent Diffusion: Architecture, Telemetry, and On-Device Evaluation
arXiv:2608.14677v1 Announce Type: cross Abstract: Most mobile image-generation applications are thin clients over cloud services, leaving outputs hard to…
Monetizing AI: A Modern Framework for How Companies Can Maximize Business Growth
AI has rapidly moved from a competitive differentiator to a baseline expectation for software companies. However, it has also become the most expensive…
ARGUS: Attention-Guided Transformers for Scalable Person Identification Using Wi-Fi Telemetry
arXiv:2608.14670v1 Announce Type: cross Abstract: Passive, device-free person identification offers an alternative to camera- and wearable-based…
Does the Heart Show Your Pain? Tackling the X-ITE Pain Challenge with Self-Supervised ECG Representation Learning
arXiv:2608.14662v1 Announce Type: cross Abstract: Accurate recognition of pain using physiological signals remains a challenging problem due to pain’s…
FedImp: Enhancing Federated Learning Convergence with Impurity-Based Weighting
arXiv:2608.14654v1 Announce Type: cross Abstract: Federated Learning (FL) is a collaborative paradigm that enables multiple devices to train a global…
What Can I Actually Do with a Small Language Model?
But by keeping these limits in mind, and planning for them, we can effectively use these small, local models for the following broad operations scenarios.