The authors have performed a potentially valuable new kind of analysis in connectomics, mapping to an interesting developmental problem of synaptic input to sensory neurons. While the analysis itself ...
One reason people hesitate with LAMBDA is the assumption that it requires learning something entirely new. It doesn't. Every ...
In this issue of The EMBO Journal, Pizzagalli and colleagues present proof-of-principle analyses of immune cell motility ...
Moog uses advanced modeling and simulation tools—such as Simulink, MATLAB and its proprietary MAST library—to design and ...
AI-assisted signal debugging has broad impact across many domains.
Virus entry is thought to involve binding a unique receptor for cell attachment and cytosolic entry. For SARS-CoV-2 underlying the COVID-19 pandemic, angiotensin- converting enzyme 2 (ACE2) is widely ...
Researchers have developed a high-fidelity 13-degree-of-freedom nonlinear model and an intelligent algorithm for wind turbine ...
AZoRobotics on MSN
Reinforcement Learning for Stable Bipedal Robot Locomotion
The integrated AI approach for bipedal locomotion combines physics-driven planning and reinforcement learning, achieving ...
Researchers at Tulane University, with a team of colleagues from eight other universities, have discovered a new nerve cell ...
ST has just launched its most powerful STM32 microcontroller so far, with the STM32V8 family, the first equipped with a ...
6don MSN
How the brain learns and applies rules: Sequential neuronal dynamics in the prefrontal cortex
Understanding how the brain learns and applies rules is the key to unraveling the neural basis of flexible behavior. A new ...
Researchers Sumika Kato, Takeo Kubo, and Taro Fukazawa of the University of Tokyo have discovered that c1qtnf3, a secreting ...
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