In an era where AI is increasingly powering everyday systems from loan approvals to personalized healthcare, ensuring fairness and mitigating bias in machine learning pipelines has become a top ...

The bias-variance trade-off is crucial for achieving an optimally performing supervised learning model. Bias is the ...

Launched by policy fellows at the Aspen Institute, the initiative aims to ensure ed-tech tools do not reinforce racial biases, offering a toolkit, a school procurement guide and a certification backed ...

Data-driven algorithms can help planners make more informed decisions, but the technology comes with its own risks of error, ...

Kriti Goyal used her master's degree and strategic networking to move to the US and succeed in AI at a major Big Tech company ...

The president’s executive order could reshape chatbots’ politics. But experts say training AI models to be neutral is easier ...

In a sport where tactics, terrain, weather, and timing all merge into one fluid contest, predicting the outcome of a cycling race can seem like guesswork.

By BERNARD BEMPONG  The regulatory landscape in banking is becoming increasingly complex with financial institutions facing ...

Introduction In the 21st century, technology does not merely evolve, it accelerates. One of the most significant accelerants of this digital age is Artificial Intelligence (AI), a transformative force ...

While many parameters are used to determine the right sensor choice for a specific application, one of the most commonly ...

Anthropic released one of its most unsettling findings I have seen so far: AI models can learn things they were never ...

B ruce K. Lee, who is the CEO and founder of Keebeck Wealth Management, has made artificial intelligence (AI) a priority for ...