Algorithms mimic the data they are given. If that data reflect humanity’s sexism, racism and oppressive tendencies, those biases will be baked into the algorithm’s predictions. But there is ...

In 14% of problems, the performance improvements vastly outpaced those that came from improved hardware, with the gains from better algorithms being particularly meaningful for big data problems ...

Four previously tested AI diagnostic algorithms for skin cancer demonstrated lower sensitivity and specificity when tested on ...

Beyond improving fraud detection, Patil's work has helped Amazon optimize its resource allocation. By reducing the number of ...

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 ...

As a next step, we plan to apply our algorithm to an institutional data set of patients, which will provide information on how the algorithm performs in patients who are not well represented in ...

While not specified in the survey, skills and performance data could range from more traditional measures — like an employee's sales figures — to more complicated "productivity scores" that ...

This paper addresses the critical challenges of data management and security within cloud environments by exploring the use of Time-Variant Secure Data Fragmentation and Reassembly Algorithms.