
Radical Reads: Pride and Participatory AI
in the spirit of Pride month, we reflect on the AI industry’s responsibility to consider 2SLGBTQIA+ people in the development of AI technologies and the growing importance of participatory design…
in the spirit of Pride month, we reflect on the AI industry’s responsibility to consider 2SLGBTQIA+ people in the development of AI technologies and the growing importance of participatory design…
How can foundation models be leveraged for administrative and clinical tasks? The lowest hanging fruit are general and administrative tasks…
In what feels like a constant AI news cycle, let’s take a step back and look at the big picture Here are 10 charts that start to make sense of AI today.
The following statement is utterly ludicrous. It is also true. The world’s most important advanced technology is nearly all produced in a single facility.
The emergence of the Internet triggered a widespread disruption of businesses, transforming how we earn and spend money, communicate with each other, and live our lives.
Performing well across tasks is difficult, as is benchmarking these models’ performance. Performance tends to vary depending on the task at hand. How can we determine if a model is “better” than another?
The largest AI research conference was held earlier this month, and one thing was very clear to everyone attending: generative AI and large language models are dominating AI research.
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