IIS La Fe coordina un proyecto europeo para usar la inteligencia artificial en oncología - Valencia Plaza
IIS La Fe coordina un proyecto europeo para usar la inteligencia artificial en oncología Valencia Plaza
IIS La Fe coordina un proyecto europeo para usar la inteligencia artificial en oncología Valencia Plaza
El gasto relacionado con la inteligencia artificial superaría el billón de dólares en 2026 Bloomberg Línea
La IA redefine la automatización industrial y concentrará casi la mitad del valor del sector en 2030 Industry Talks
Jensen Huang, CEO de NVIDIA, no cree que estemos en una burbuja: “El retorno reside en la utilidad de la IA” La Vanguardia
Bernie Sanders advierte a los CEO de IA: “Dejen de construir máquinas que los humanos no puedan controlar” La Vanguardia
Thyroid ultrasound diagnosis requires coordinated lesion localization, measurement, risk stratification and reporting, yet most AI systems address these tasks in isolation and provide limited support for clinical review. We present ThyroidXAgent, a clinician-interactive agentic AI system that coordinates specialized diagnostic tools and stores their outputs as an auditable case-level evidence record.
Improving reasoning LLMs requires the ability to judge the quality of long reasoning traces for effective reasoning data curation, strong training signals during reinforcement learning, and an in-depth understanding of reasoning behaviors during model performance evaluation. Additionally, surfacing reasoning mistakes that the model makes would enable improving the model's performance at runtime through providing feedback.
Discovery---formulating novel generalizations---is a central part of the scientific process. Despite its importance, there is a gap in the current AI benchmark landscape, with few benchmarks directly probing the capacity for discovering new knowledge with experimentation in controlled environments where the objective is unknown. To address this gap, we release a new benchmark: DiG-bench (Discovery in Games). DiG-bench consists of a set of 70 independent games.
Multi-turn dialogues let users revoke constraints as easily as impose them, but revocation does not reliably take effect: models keep enacting withdrawn requirements (occasionally beneath comments asserting their removal), a failure we call \emph{behavioral relapse}, or revocation inertia. No existing instrument measures this influence per clause, predicts it before delivery, or repairs it under matched budgets.
In 2026, the four leading AI coding agents are Claude Code (Anthropic's CLI powerhouse running Opus 4.6), Codex CLI (OpenAI's token-efficient Rust-based agent running GPT-5.3-Codex), Cursor 2.0 (the IDE-first platform with its new Composer model), and Windsurf Wave 13 (the multi-agent IDE with parallel Git Worktree execution). Claude Code dominates complex software engineering tasks and multi-agent orchestration, Codex CLI leads in token efficiency and sandboxing, Cursor 2.0 excels at [...] ###
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