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Standards for fair decision making could help us develop algorithms that comport with our consensus views; however, algorithmic fairness has its limits.

The team at NVIDIA brings confidentiality and integrity to user code and data for accelerated computing.

Giving individuals more control of their personal data.

Seeking more secure and effective digital representations.

Assessing the ascent of Nvidia.

Envisioning a unique approach toward bias and fairness research.

Assessing data security.

This post was created in response to the Cerf's Up article "On Expert Testimony" that appeared in the December 2023 issue of Communications.

Digitization has many downsides.

To what extent have the techniques for theoretical analysis of edit distance algorithms achieved their goals?