Kutz believes machine scientists are bringing the field to the cusp of what he calls “GoPro physics,” where researchers will simply point a camera at an event and get back an equation capturing the essence of what’s going on.
The researchers found that the new material’s elastic modulus — a measure of how much force it takes to deform a material — is between four and six times greater than that of bulletproof glass. They also found that its yield strength, or how much force it takes to break the material, is twice that of steel, even though the material has only about one-sixth the density of steel.
The point of this story is to illustrate that the Dunning-Kruger effect has nothing to do with human psychology. It is a statistical artifact — an example of autocorrelation hiding in plain sight.What’s interesting is how long it took for researchers to realize the flaw in Dunning and Kruger’s analysis. Dunning and Kruger published their results in 1999. But it took until 2016 for the mistake to be fully understood.
While AI has yet to attain human-like cognition, artificial neural networks that replicate language processing — a system thought to be a critical component behind higher cognition — are starting to look surprisingly similar to what we see taking place in the brain.
While it’s clear that both the experience and content of consciousness are real, we argue that, from a science explanation, they are epiphenomenal: secondary phenomena based on the machinations of the physical brain itself. In other words, our subjective experience of consciousness is real, but the functions of control and ownership we attribute to that experience are not.
We’re told Google has used this AI system to produce the floorplan of a next-generation TPU – its Tensor Processing Unit, which the web giant uses to accelerate the neural networks in its search engine, public cloud, AlphaGo and AlphaZero, and other projects and products.
In effect, Google is using machine-learning software to optimize future chips that speed up machine-learning software.
“The transformable lunar robot will be an ultra-compact and ultra-lightweight robot that can traverse in the harsh lunar environment,” JAXA stated. The robot’s diminutive size and small mass of 250 grams, JAXA added, “contributes to a reduction in volume during transportation to the moon. Therefore, it is expected to play active roles in future lunar exploration missions as well.”
“This research explains why humans are such a unique species. We evolve both genetically and culturally over time, but we are slowly becoming ever more cultural and ever less genetic,”