Part of the PROMPT series, Maria Hul, Junior Researcher, opsci, reflects on her experiences of using Large Language Models ...

In this paper, a data-driven model predictive control (MPC) strategy is proposed for longitudinal control of an autonomous vehicle with an unknown chassis. The data-driven MPC strategy is developed to ...

With the rapid development of technologies such as smart city, digital twin, and metaverse, the data volume of three-dimensional building models is experiencing explosive growth. To address the issue ...

In settings where annotated data were extremely limited, the AI tool boosted model performance by 10 to 20% compared to existing approaches. It required 8 to 20 times less real-world training data ...

Arcee opens up new enterprise-focused, customizable AI model AFM-4.5B trained on ‘clean, rigorously filtered data’ Carl Franzen @carlfranzen July 29, 2025 2:26 PM ...

What a data analyst does. Key data-driven equipment metrics. How data benefits maintenance management. How to manage expectations when implementing change. William A. Hazel runs a mixed fleet and ...

A new Apple-backed AI model trained on Apple Watch behavioral data can now predict a wide range of health conditions more accurately than traditional ...

A new scientific study uses behavior information derived from Apple Watch sensor data for health predicitons.

The Public Utilities Commission of Ohio on Wednesday ordered AEP Ohio to file for new tariffs, or rate structures, that apply specifically to data centers in an effort to protect other customers ...

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after it has already been used for training.

The integration of longitudinal designs with Bayesian approaches has led to improvements in model robustness, the capacity to handle missing or censored data, and the ability to incorporate ...

This customer-centric model has led to 80% of data requests being fulfilled within weeks, drastically accelerating time-to-insight for biopharma partners, says Littlejohns.