Modern biological science is trying to solve the fundamental complex problems of molecular
biology, which include protein folding, drug discovery, simulation of macromolecular …

Recent progress in artificial intelligence has renewed interest in building systems that learn
and think like people. Many advances have come from using deep neural networks trained …

A key feature for obtaining solutions to difficult problems, insight is oftentimes vaguely
regarded as a special discontinuous intellectual process and/or a cognitive restructuring of …

Scientific literature demonstrates how osteopathic manipulative treatments (OMT) are able to
improve various somatic functional parameters, change somato-visceral and viscero …

We agree with Lake and colleagues on their list of “key ingredients” for building human-like
intelligence, including the idea that model-based reasoning is essential. However, we favor …

Technoscientific ambitions for perfecting human-like machines, by advancing state-of-the-art
neuromorphic architectures and cognitive computing, may end in ironic regret without …

Quantum information applications emerged decades ago, initially introducing a parallel
development that mimicked the approach and development of classical computer science …

We were encouraged by the broad enthusiasm for building machines that learn and think in
more human-like ways. Many commentators saw our set of key ingredients as helpful, but …

In this commentary, we highlight a crucial challenge posed by the proposal of Lake et al. to
introduce key elements of human cognition into deep neural networks and future artificial …

A lot of what we consider Consciousness (C) is conscious attention to short-term memories
(STM). At least some STM are actively processed by highly synchronized patterns of …