The Unified Canvas is a fully integrated canvas implementation with support for all core generation capabilities, in/out-painting, brush tools, and more. This creative tool unlocks the capability for artists to create with AI as a creative collaborator, and can be used to augment AI-generated im...
In this context, artificial intelligence (AI) techniques have been widely used in the field of material science and engineering to discover, design, and optimize new advanced materials with sustainable features, i.e., enhanced functional properties, while considering other requirements. This involves ...
Heart rate variability (HRV) denotes the time interval between consecutive heartbeats.The HRV signal, as detected by the sensors and devices, has been popularly used as an indicative measure to estimate the level of stress, depression, and anxiety. For years, artificial intelligence (AI)-based ...
Standigm employs AI to detect patterns and trends relevant to human biology across vast biomedical databases. It uses three main proprietary technologies, including hit generation-lead optimization, drug repurposing and target discovery, and then applies novel design solutions to go from new disease targ...
I see that the recolor is not supposed to be used for Commercial work. Does this restriction apply only to the particular recolored image, or does it mean I can not even use a color group made from image recolored by AI? Votes 1 Upvote Translate Transl...
(AI) methods, including ML and DL, which are proposed to tackle these security challenges in IoT. Additionally, the authors shed light on the specific challenges of implementing these AI techniques within the IoT architecture. The interconnected nature of the Internet of Things and the ...
Materials evaluation using AI and cloud-powered automated labs At the end of the design cycle, we face the need to accelerate the synthesis and testing of the large number of materials hypotheses. Recent advances in AI enabled digitization of common tasks in chemical synthesis, including forward ...
S. Xiao, et al., Deep-q: Traffic-driven qos inference using deep generative network, in: ACM SIGCOMM Workshop on Network Meets AI & ML, 2018, pp. 67–73. Google Scholar [19] Mnih V., et al. Human-level control through deep reinforcement learning Nature, 518 (7540) (2015), pp. ...
The proposed method was combined with path planning algorithms to allow fully autonomous control. The presented approach is an alternative to complex mathematical models, which are sensitive to variations in microrobot design, the environment and the nonlinearity of magnetic systems. This is a preview ...
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