But I would argue that the relatively dull tasks Atlas is working on now, moving car parts and totes and whatnot, are just as ...

This paper develops fundamental limits of deep neural network learning by characterizing what is possible if no constraints are imposed on the learning algorithm and on the amount of training data.

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech ...

While research on altered states of consciousness has made considerable progress, much of the existing literature compares these states only to normative ...

Academic skepticism and business frustration have triggered past AI winters. This time, both factors are present. But there ...

Over the past several decades, studies have shown the cognitive and mental health benefits of exposure to specific environments, such as natural ...

Quadratic programming with equality constraint (QPEC) problems have extensive applicability in many industries as a versatile nonlinear programming modeling tool. However, noise interference is ...