This topic focuses on workload-driven decisions—where the bottleneck is, what you’re paying for, and what fails at scale.
Multi-image prompts can bypass single-image filters, exposing structural safety gaps in multimodal LLM defenses.
A study on claim verification that proposes ternary decisions and explainable argumentation under incomplete or conflicting evidence.
A curated link roundup from recently collected official updates and tech news.
A curated link roundup from recently collected official updates and tech news.
A case of wrapping Florence-2 with ROS 2 topics, services, and actions for local inference and reproducible integration.
AI-generated code quality varies by task and prompt, so security, maintainability, and risk checks matter more than speed alone.
A look at distributed MADRL for large-scale scheduling, focusing on scalability, adaptability, and design tradeoffs.
A look at research evaluating harmful manipulation through human-AI multi-turn interaction beyond static benchmarks.
Why mathematics must address AI through values, practice, teaching, technology, and ethics to protect autonomy.
A unified view of probabilistic trustworthy AI: performance bottlenecks may lie in memory and random data movement, not just compute.
A neuroimaging benchmark comparing vision-enabled LLMs on MRI and CT, focusing on clinical reasoning, errors, and safety tradeoffs.
Examines how LLM post-training collapses multiple valid answers into one and why distributional evaluation matters.
Examines security risks in RAG when prompt injection and database poisoning combine across retrieval and indexing.
How wireless world models combine 3D geometry and wave propagation to improve real-world generalization in AI-native 6G.
A curated link roundup from recently collected official updates and tech news.
View LLM agents as runtime-adaptive computation graphs to optimize accuracy, cost, latency, debugging, and control.
A look at markup proposals that separate instructions from data in LLM inputs and why structured interfaces matter.
A curated link roundup from recently collected official updates and tech news.
A curated link roundup from recently collected official updates and tech news.
A curated link roundup from recently collected official updates and tech news.
Why agent governance is moving from static rules to execution paths, runtime logs, and timing-aware intervention.
Examines AI exposure in clerical work, automation pressure, and why task redesign and human accountability matter.
How LLMs can guide neural architecture search using only trial summaries while sensitive time-series data stays on-premises.
Models with identical predictions can still produce different feature attributions, challenging XAI reliability, audits, and governance.
