AI is everywhere you look, and professional football is no exception. The NFL has introduced the Digital Athlete, which uses data and AI to help teams…
Category: AI
Reliable Near-Field Multi-User Positioning Informed by Two-Stage MUSIC
arXiv:2609.09409v1 Announce Type: cross Abstract: Near-field localization is a promising technique for high-resolution multi-user positioning in future…
Turning AI Experiments into Enterprise Intelligence & Value
Enterprise AI isn’t limited by models. Companies can run test pilot programs, execute common tasks, and implement proof-of-concept models much faster than…
An Experimental Evaluation of Multimodal Prompt Injection Attacks on Agentic AI Frameworks
arXiv:2609.09404v1 Announce Type: cross Abstract: Agentic AI frameworks let a language model plan, keep memory, and call tools that reach real files,…
Support Discovery With Iteratively Reweighted Least Squares for Fixed-Charge Network Flow
arXiv:2609.09295v1 Announce Type: cross Abstract: The fixed-charge network flow problem (FCNFP) couples continuous flow allocation with discrete…
Improving 5G AI-RAN MCS Selection by Predicting Retransmissions
arXiv:2609.09324v1 Announce Type: cross Abstract: Link Adaptation (LA) in 5G NR is inherently reactive, relying on channel measurements and HARQ feedback…
VANTAGE-Bench: Evaluating the Infrastructure AI Gap in Vision-Language Models
arXiv:2609.09396v1 Announce Type: cross Abstract: As Vision-Language Models (VLMs) advance toward physical deployment, the focus has remained on…
AI Models Are Watermarking Text—Will You Notice?
On 11 August, Anthropic announced that all future Claude models will generate text that contains a watermark that identifies its results as AI generated.…
Smart Adaptive Computing Across the Continuum: LLMs in IoT-Edge-Cloud Resource Management
arXiv:2609.09348v1 Announce Type: cross Abstract: Managing resources across IoT, edge, and cloud layers calls for continuous, context-aware decisions…
7 Approaches to Efficient LLM Training on Limited Hardware
Learn seven engineering techniques to train large language models on consumer GPUs without running out of memory.