Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...
Overview: Machine learning failures usually start before modeling, with poor data understanding and preparation.Clean data, ...
Sujit Murumkar is a visionary leader who designed and implemented enterprise scale modern data ecosystems for one of the ...
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
A study in Nature Communications by Michele Ceriotti’s group at EPFL has introduced a new dataset and model that greatly improve the efficiency of machine-learning interatomic potentials (MLIPs) and ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
AI projects are not for the faint-hearted – they need to be properly resourced with the different skills required: data ...
Public discourse has focused a lot on artificial intelligence in the past few years. And even though the technology is hyped ...
Nvidia Corp. has acquired SchedMD LLC, a low-profile company that maintains one of the most important open-source tools in ...
Post Doc Fellow: AI and Data Systems in Nuclear/Particle Physics, Stellenbosch University In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, ...
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