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COSTS. "However, the use of promiscuity does not come without a cost: a number of diseases that have been associated with intrinsically disordered-containing proteins seem to be caused by undesirable interactions occurring upon altered expression of the intrinsically disordered-containing protein." http://www.biochemj.org/content/454/3/361?sa=X&ved=0CDkQ9QEwEWoVChMIzdjAo5n2xgIVovRyCh0HSAum View in LinkedIn

FUNCTION OF PROMISCUOUS ID SEGMENTS. "Their use in assembling dynamic, macromolecular structures, their role as interaction switches in regulation and signalling, and their role as recognition elements in the PQC (protein quality control) system." http://www.biochemj.org/content/454/3/361?sa=X&ved=0CDkQ9QEwEWoVChMIzdjAo5n2xgIVovRyCh0HSAum View in LinkedIn

INTER- AND INTRADIGM-MODULARITY. "Patil et al., concluded that transient hubs are more likely to interact intermodularly, allowing communication between different modules (a module simply being a highly interconnected process, like the transcription initiation machinery), whereas the stable hubs are more likely to interact intramodularly, allowing for the formation of the modules." http://www.biochemj.org/content/454/3/361?sa=X&ved=0CDkQ9QEwEWoVChMIzdjAo5n2xgIVovRyCh0HSAum View in LinkedIn

GOOGLE. "A self-learning computer with a neural network simulation system. In an experiment, this supercomputer was given free access to the Internet and the ability to examine the contents of the network. There were no restrictions or guidelines, the powerful super intelligence was simply allowed to explore the entire human history and experience. And what do you think this supercomputer has chosen out of all this wealth of information? It began browsing though images of kittens." http://www.learning-mind.com/five-creepiest-advances-in-artificial-intelligence/ View in LinkedIn

TASTE IS HARD. "Creativity is arguably the most difficult human faculty to automate: robots are unlikely to be fully creative any time soon. It is certainly possible to design an algorithm that can churn out an endless sequence of paintings, but it is difficult to teach such an algorithm the difference between the emotionally powerful and the dreck.” https://www.theguardian.com/technology/2015/oct/10/can-robots-be-creative View in LinkedIn

"NEURAL NETWORKS have made great strides in allowing us to build computer programs that can process images, speech, text, and even draw pictures." https://lnkd.in/dQpQxhq View in LinkedIn

GÖDEL MACHINE. "We believe that among the most promising approaches for learning to memorize are our recurrent neural networks, policy gradients, and the Optimal Ordered Problem Solver. An ambitious long-term goal is to implement a full-fledged Gödel machine for a real learning robot." https://lnkd.in/d8GTmxc View in LinkedIn

INDIVIDUALIZED LEARNING. "Robot learning in realistic environments requires novel algorithms for learning to identify important events in the stream of sensory inputs, and to temporarily memorize them in adaptive, dynamic, internal states until the memories can help to compute proper control actions." https://lnkd.in/d8GTmxc View in LinkedIn

DIFFERENT LEARNING STYLES. "Some hardwired, pre-programmed robots such as BU Munich's fast robot car (1994) and TU Munich's humanoid walking biped perform impressive tasks. But they do not learn like humans do. Unfortunately, traditional reinforcement learning algorithms are limited to simple reactive behavior and do not work well for realistic robots." https://lnkd.in/d8GTmxc View in LinkedIn