Bias has a pretty well-known definition in the world of AI/ML programming. But today’s paper asks us to expand that definition and consider how cultural, organizational, and human forces can intersect...
While staring into uncertainty might sound abyssal and frightening, ensemble models have proven (to us, at least) that this isn’t the case. In today’s episode, we’re exploring two papers with...
Machine learning dominates the conversation, but what will happen to the centuries-old physical equations that built our understanding of the atmosphere? How are the two approaches at odds? How might...
Where does the end begin? Where does the end end? And what the HELL is happening in the middle? These are some of the questions we tackle in this episode as we explore Aardvark Weather, an end-to-end...
How far into the future can we actually predict the weather? Typically, this question is rhetorical, a slight (or smite⚡) against meteorologists everywhere after someone’s wedding gets rained out. But...