Harnessing artificial intelligence for the next generation of 3D printed medicines
Artificial intelligence (AI) is redefining how we exist in the world. In almost every sector of
society, AI is performing tasks with super-human speed and intellect; from the prediction of …
society, AI is performing tasks with super-human speed and intellect; from the prediction of …
Multiscale modeling meets machine learning: What can we learn?
GCY Peng, M Alber, A Buganza Tepole… - … Methods in Engineering, 2021 - Springer
Abstract Machine learning is increasingly recognized as a promising technology in the
biological, biomedical, and behavioral sciences. There can be no argument that this …
biological, biomedical, and behavioral sciences. There can be no argument that this …
Artificial intelligence in recommender systems
Recommender systems provide personalized service support to users by learning their
previous behaviors and predicting their current preferences for particular products. Artificial …
previous behaviors and predicting their current preferences for particular products. Artificial …
A survey on machine learning techniques for routing optimization in SDN
In conventional networks, there was a tight bond between the control plane and the data
plane. The introduction of Software-Defined Networking (SDN) separated these planes, and …
plane. The introduction of Software-Defined Networking (SDN) separated these planes, and …
Encoding memory in tube diameter hierarchy of living flow network
The concept of memory is traditionally associated with organisms possessing a nervous
system. However, even very simple organisms store information about past experiences to …
system. However, even very simple organisms store information about past experiences to …
[HTML][HTML] How much intelligence is there in artificial intelligence? A 2020 update
HLJ Van der Maas, L Snoek, CE Stevenson - Intelligence, 2021 - Elsevier
Schank (1980) wrote an editorial for Intelligence on “How much intelligence is there in
artificial intelligence?”. In this paper, we revisit this question. We start with a short overview …
artificial intelligence?”. In this paper, we revisit this question. We start with a short overview …
Harnessing machine learning for development of microbiome therapeutics
The last twenty years of seminal microbiome research has uncovered microbiota's intrinsic
relationship with human health. Studies elucidating the relationship between an unbalanced …
relationship with human health. Studies elucidating the relationship between an unbalanced …
What do reinforcement learning models measure? Interpreting model parameters in cognition and neuroscience
Highlights•'Reinforcement learning'(RL) refers to different concepts in machine learning,
psychology, and neuroscience.•In psychology and neuroscience, RL models have provided …
psychology, and neuroscience.•In psychology and neuroscience, RL models have provided …
Human-in-the-loop deep reinforcement learning with application to autonomous driving
Due to the limited smartness and abilities of machine intelligence, currently autonomous
vehicles are still unable to handle all kinds of situations and completely replace drivers …
vehicles are still unable to handle all kinds of situations and completely replace drivers …
Deep neural networks using a single neuron: folded-in-time architecture using feedback-modulated delay loops
Deep neural networks are among the most widely applied machine learning tools showing
outstanding performance in a broad range of tasks. We present a method for folding a deep …
outstanding performance in a broad range of tasks. We present a method for folding a deep …