Scientists have modelled the effects of huge hypothetical energy projects in the desert.
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In addition to continued fallout from policy upheaval in the US, global growth was projected to soften, fiscal policy in Germany was set for an overhaul, and uncertainty reached record levels.
To understand exactly what’s going on, we need to back up a bit. Roughly put, building a machine-learning model involves training it on a large number of examples and then testing it on a bunch of similar examples that it has not yet seen. When the model passes the test, you’re done.
What the Google researchers point out is that this bar is too low. The training process can produce many different models that all pass the test but—and this is the crucial part—these models will differ in small, arbitrary ways, depending on things like the random values given to the nodes in a neural network before training starts, the way training data is selected or represented, the number of training runs, and so on. These small, often random, differences are typically overlooked if they don’t affect how a model does on the test. But it turns out they can lead to huge variation in performance in the real world.
In other words, the process used to build most machine-learning models today cannot tell which models will work in the real world and which ones won’t.
Tech giants dominate research but the line between real breakthrough and product showcase can be fuzzy. Some scientists have had enough.
If AI is really going to make a difference to patients we need to know how it works when real humans get their hands on it, in real situations.
Mark Rober’s Tesla crash story and video on self-driving cars face significant scrutiny for authenticity, bias, and misleading claims, raising doubts about his testing methods and the reliability of the technology he promotes.
Questions to inspire discussion.
Tesla Autopilot and Testing 🚗 Q: What was the main criticism of Mark Rober’s Tesla crash video? A: The video was criticized for failing to use full self-driving mode despite it being shown in the thumbnail and capable of being activated the same way as autopilot. 🔍 Q: How did Mark Rober respond to the criticism about not using full self-driving mode? A: Mark claimed it was a distinction without a difference and was confident the results would be the same if he reran the experiment in full self-driving mode. 🛑 Q: What might have caused the autopilot to disengage during the test?
A new study finds that staying up late, known as having an “evening chronotype,” is associated with a higher risk of depression.
La Niña conditions are waning, and a transition to ENSO-neutral is favored in the next month.
Researchers turn to the vascular system of plants to solve a major bioengineering problem blocking the regeneration of human tissues and organs.