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This post highlights a few key excerpts from our full impact report. You can read the full report at https://controlai.com/impact-report-2025 . ControlAI is a non-profit organization working to avert …
Cybersecurity Arms Race: Microsoft vs. Hackers in 2026 Analytics Insight
arXiv:2603.27597v1 Announce Type: new Abstract: Recent work on artificial consciousness shifts evaluation from behaviour to internal architecture, deriving indicators from theories of consciousness an…
arXiv:2603.27536v1 Announce Type: new Abstract: Advanced Driver Assistance Systems (ADAS) increasingly rely on learning-based perception, yet safety-relevant failures often arise without component mal…
arXiv:2603.27476v1 Announce Type: new Abstract: AI-powered people search platforms are increasingly used in recruiting, sales prospecting, and professional networking, yet no widely accepted benchmark…
arXiv:2603.27438v1 Announce Type: new Abstract: We propose a stylized model of human-AI collaboration that isolates a mechanism we call the novelty bottleneck: the fraction of a task requiring human j…
arXiv:2603.27423v1 Announce Type: new Abstract: We present AstraAI, a command-line interface (CLI) coding framework for high-performance computing (HPC) software development. AstraAI operates directly…
arXiv:2603.27415v1 Announce Type: new Abstract: Classical optimization algorithms--hill climbing, simulated annealing, population-based methods--generate candidate solutions via random perturbations. …
arXiv:2603.27406v1 Announce Type: new Abstract: In this paper, the relationship between probabilistic graphical models, in particular Bayesian networks, and causal diagrams, also called structural cau…
arXiv:2603.27404v1 Announce Type: new Abstract: Large Language Models (LLMs) are being increasingly used as autonomous agents in complex reasoning tasks, opening the niche for dialectical interactions…
arXiv:2603.27360v1 Announce Type: new Abstract: Rebuttal generation is a critical component of the peer review process for scientific papers, enabling authors to clarify misunderstandings, correct fac…
arXiv:2603.27355v1 Announce Type: new Abstract: We present a readiness harness for LLM and RAG applications that turns evaluation into a deployment decision workflow. The system combines automated ben…
arXiv:2603.27343v1 Announce Type: new Abstract: Task-completion rate is the standard proxy for LLM agent capability, but models with identical completion scores can differ substantially in their abili…
arXiv:2603.27341v1 Announce Type: new Abstract: Recent Artificial Intelligence (AI) models have matched or exceeded human experts in several benchmarks of biomedical task performance, but have lagged …
arXiv:2603.27338v1 Announce Type: new Abstract: Recent advancements in language model technology have significantly enhanced the ability to edit factual information. Yet, the modification of moral jud…
arXiv:2603.27314v1 Announce Type: new Abstract: Music-to-dance generation has broad applications in virtual reality, dance education, and digital character animation. However, the limited coverage of …
arXiv:2603.27304v1 Announce Type: new Abstract: General-purpose technologies reshape economies less by improving individual tools than by enabling new ways to organize production and coordination. We …
arXiv:2603.27303v1 Announce Type: new Abstract: Protein scientific discovery is bottlenecked by the manual orchestration of information and algorithms, while general agents are insufficient in complex…
arXiv:2603.27270v1 Announce Type: new Abstract: Credal sets, i.e., closed convex sets of probability measures, provide a natural framework to represent aleatoric and epistemic uncertainty in machine l…
arXiv:2603.27195v1 Announce Type: new Abstract: Designing microstructures that satisfy coupled cross-physics objectives is a fundamental challenge in material science. This inverse design problem invo…
arXiv:2603.27169v1 Announce Type: new Abstract: Recent research has demonstrated the effectiveness of large language models (LLMs) in solving combinatorial optimization problems (COPs) by representing…
arXiv:2603.27164v1 Announce Type: new Abstract: The foundational pretraining phase determines a model's capability ceiling, as post-training struggles to overcome capability foundations established du…
arXiv:2603.27150v1 Announce Type: new Abstract: Large language models (LLMs) have revolutionized medical reasoning tasks, yet single-agent systems often falter on complex, interdisciplinary problems r…
arXiv:2603.27116v1 Announce Type: new Abstract: Every major AI memory system in production today organises information by meaning. That organisation enables generalisation, analogy, and conceptual ret…