MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Modern vision-language models allow documents to be transformed into structured, computable representations rather than lossy text blobs.

Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...

Understand why testing must evolve beyond deterministic checks to assess fairness, accountability, resilience and ...

Industrial AI deployment traditionally requires onsite ML specialists and custom models per location. Five strategies ...

Coordinated multi-agent AI workflows can shift industrial operations from reactive firefighting into proactive, financially ...

Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

In many AI applications, being “mostly right” is acceptable. Industrial equipment is not one of them. Here, machines are governed by physics, compliance requirements, and real-world consequences.

How are data and AI being used to deliver value to customers and employees in the insurance industry? This is among the ...

AI systems now operate on a very large scale. Modern deep learning models contain billions of parameters and are trained on large datasets. Therefore, they produce strong accuracy. However, their ...

AI is turning IT into a data‑driven function where operational success requires fluency across governance, analytics, ...