Advancing understanding in biological systems increasingly depends on the ability to rigorously connect subcellular and molecular processes with tissue- and ...
Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...
To help solve this problem, Generalist has relied on “data hands,” a set of wearable pincers that capture micro-movements and ...
A team of Apple researchers has developed a new framework that enables high-resolution 3D scene rendering with far greater ...
Abstract: This article presents a learning model predictive control (LMPC) method for nonlinear systems with additive state-dependent uncertainties. Both the residual part of the system and the ...
The ability to anticipate future events continuously is a hallmark of biological vision, yet standard deep learning models often struggle with long-term coherence due to the rigid discretization of ...
Abstract: Event logs record the execution of business processes as sequences of timestamped events. Most predictive process monitoring methods still learn a separate model per log: when the process, ...
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