When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...
New release adds global database connections, logical datasources, relational validation and flexible inspections to ...
Amazon Web Services (AWS), Amazon’s cloud computing division, is launching a new tool to combat hallucinations — that is, scenarios where an AI model behaves unreliably. Announced at AWS’ re:Invent ...
The Covid-19 pandemic reminded us that everyday life is full of interdependencies. The data models and logic for tracking the progress of the pandemic, understanding its spread in the population, ...