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Explore drug-like space with deep generative models
Methods, 2023The process of design/discovery of drugs involves the identification and design of novel molecules that have the desired properties and bind well to a given disease-relevant target. One of the main challenges to effectively identify potential drug candidates is to explore the vast drug-like chemical space to find novel chemical structures with desired ...
Jianmin Wang +4 more
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Reward Space Noise for Exploration in Deep Reinforcement Learning
International Journal of Pattern Recognition and Artificial Intelligence, 2021A fundamental challenge for reinforcement learning (RL) is how to achieve efficient exploration in initially unknown environments. Most state-of-the-art RL algorithms leverage action space noise to drive exploration. The classical strategies are computationally efficient and straightforward to implement.
Chuxiong Sun +3 more
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Exploring the Design Space of Efficient Deep Neural Networks
2020 IEEE/ACM Symposium on Edge Computing (SEC), 2020This paper gives an overview of our ongoing work on the design space exploration of efficient deep neural networks (DNNs), specifically on the novel optimization perspectives that past work have mainly overlooked. We cover two complementary aspects of efficient DNN design: (1) static architecture design efficiency and (2) dynamic model execution ...
Fuxun Yu +4 more
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Implications of the space radiation environment for human exploration in deep space
Radiation Protection Dosimetry, 2005Human exploration of the solar system beyond Earth's orbit will entail many risks for the crew on these deep space missions. One of the most significant health risks is exposure to the harsh space radiation environment beyond the protection provided by the Earth's intrinsic magnetic field.
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Exploring and Exploiting Deep Ocean Space
2021Jules Verne’s life was framed by the second phase of the British Industrial Revolution. In his nineteenth-century world, a transition to steam occurred. It was a time of rapid technological developments and explorations of every corner of the Earth’s surface. Then the world population clock ticked slowly and was well below 1.3 billion. Today, more than
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Using deep neural networks to explore chemical space
Expert Opinion on Drug Discovery, 2021The popularity and success of advanced AI methods like deep neural networks has led to novel ways for exploring chemical space. Their opaque nature poses challenges for model evaluation regarding novelty, uniqueness, and distribution of the chemical space covered.
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Human Space Exploration in the “Deep Space Proving Grounds”
2016Freeman Dyson once said “there is nothing so great or so crazy that a technological society cannot be moved to do, provided that it is physically possible.” He is one of the few surviving giants among visionaries from the space race of the 1960s. In his book Disturbing the Universe, he presents heretical ideas, such as space colonisation and the ...
Giovanni Bignami, Andrea Sommariva
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Space optical communication system for space optical networks and deep space exploration
Journal of Optical Communications and NetworkingThe acquisition time of tens to hundreds of seconds in the optical link between satellites makes it difficult to meet the needs of constructing spatial optical networks. In addition, as a basic requirement for deep space explorers, autonomous attitude determination and autonomous navigation demand the installation of separate, expensive, and complex ...
Jianmin Wang +4 more
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Locomotion Mechanism of Intelligent Unmanned Explorer for Deep Space Exploration
2009In recent years, such small body exploration missions as asteroids or comets have received remarkable attention in the world. In small body explorations, especially, detailed in-situ surface exploration by tiny rover is one of effective and fruitful means and is expected to make strong contributions towards scientific studies.
Takashi Kubota +4 more
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Design and Analysis of a Spherical Robot with Rolling and Jumping Modes for Deep Space Exploration
Machines, 2022Bingyang Li
exaly

