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The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...
Rats exhibit significant recovery of locomotor function following incomplete spinal cord injuries, albeit with altered gait expression and reduced speed and stepping frequency. These changes likely ...
A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after ...
1d
Tech Xplore on MSNBeating the AI bottleneck: Communications innovation could markedly improve AI training processArtificial intelligence (AI) is infamous for its resource-heavy training, but a new study may have found a solution in a novel communications system, called ZEN, that markedly improves the way large ...
4don MSN
Throughout their everyday lives, humans are typically required to make a wide range of decisions, which can impact their well ...
3don MSN
A new paper published in Nature Communications reveals how the way tree species are arranged in a forest can help optimize ...
Background The burden of cardiovascular events in Africa is projected to rise significantly in the coming decade, placing ...
This important study looks into the effect of exogenous CoA on the response of TLR4-activated macrophages. Specifically, CoA enhances the LPS response by examining metabolomics, 13C tracing, and ...
This paper presents a feedback control design for a coordinated ramp metering problem for two consecutive on-ramps. We design a traffic allocation scheme for ramps based on Godunov's numerical method ...
BACKGROUND: Primary aldosteronism (PA), an overt form of renin-independent aldosterone production, leads to a disproportionately high rate of major adverse cardiovascular events (MACEs). Mounting ...
Reprint: R0711C Many executives are surprised when previously successful leadership approaches fail in new situations, but different contexts call for different kinds of responses. Before ...
Finite control set-model predictive control (FCS-MPC) operates based on the assumption that optimal control responses executed on a prediction model match closely an actual system. Thus, model ...
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