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Cost-aware large language model selection focuses on routing tasks to different models based on price–performance tradeoffs, aiming to meet quality targets while controlling spend. Approaches weigh latency, accuracy, and token costs to decide when to use small, inexpensive models versus larger, more capable ones for specific prompts and workloads.

Resham Kotecha of the Open Data Institute outlines ways the European Union can strengthen AI leadership, emphasizing responsible innovation, data sharing, and skills. Priorities include harmonized regulation, support for startups and access to compute, and public sector adoption that aligns with EU values while bolstering competitiveness across member states.

Sennos launches an AI-powered sensing platform for fermentation, designed to improve real-time monitoring, yield, and process control in bioprocessing. The system targets applications from food and beverage to industrial biotech, using data-driven insights to help optimize conditions, reduce variability, and streamline production workflows.

VMR introduces the OmniHead robot module at Big Data Expo, presenting a modular head unit intended to enhance robotic perception and interaction. The design highlights integrated sensing and control to support versatile robotics deployments in data-rich environments, aiming to improve adaptability and system integration.