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

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited AI expertise in industrial fields such as factories, medical, and ...

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

Given the rapidly evolving landscape of Artificial Intelligence, one of the biggest hurdles tech leaders often come across is ...

Machine learning reduces friction at every stage of a business, whether you’re coming up with new product ideas or getting the goods delivered to the client. It increases business efficiency, improves ...

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

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...

Strikingly, studies show AI-generated text responses are now rated as more compassionate than those written by humans – even ...

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

Real-time collaboration between people and AI is emerging as a critical driver of faster, higher-quality business innovation.

From data poisoning to prompt injection, threats against enterprise AI applications and foundations are beginning to move ...