Pamela Weber Harris , a former high school math teacher contends in a new volume, Developing Mathematical Reasoning: Avoiding ...

Abstract: Neural networks are vulnerable to meticulously crafted adversarial examples ... probabilistic scheduling algorithm of pre-trained models (ProbSched-PTM) to counter diverse transfer attacks.

At Harvard, Darshali Vyas and a group of her fellow medical trainees had been working on a paper highlighting 13 examples of race-based algorithms ... simple ER triage flowcharts, to the ...

Data about arrests, for example, reflects many societal choices ... critics of current AI deployment would say that one difference between discriminatory practices and discriminatory algorithms is the ...

What are the differences between BI, AI and analytics ... with machine learning algorithms to identify patterns in data. The AI then begins to draw inferences based on this.

For example, Literature [10] proposed a UWB localization algorithm ... between the tags, thus improving localization precision. By employing the new method, all of the tags locations can also be ...

This is fed into the training algorithm, with searches for the best parameters and settings for the parts of the model. In our simple example of distinguishing between dogs and hamsters ...