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While this framing of the problem appears anticlimactic – reducing creativity/imagination to the more prosaic act of learning to generate samples from a vast distribution – it is nevertheless a powerful framework that already presents difficult computational hurdles.
Computational hurdles, while daunting, are perhaps the most manageable, with computer science, high-energy physics, and astronomy already leading the big-data charge.
Beyond the biological challenges that go along with trying to distinguish all these cell types, there are numerous computational hurdles as well.
Through a set of clever protocols, that computational hurdle prevents the system from being coopted by malicious hackers.
To alleviate the decoder computational hurdle, an initial number of parity bits packets is estimated by way of a hybrid encoder/decoder rate control mechanism [13].
Seyed and Songchun present computational sprinting.
Returning them forcibly to their home countries is expensive and presents legal hurdles.
Disruption of protein protein interactions by small molecules is achievable but presents significant hurdles for effective compound design.
The exceedingly delicate warming process presents more hurdles.
Successfully executing and publishing high-quality translational research presents myriad hurdles.
Interpreting endpoints in GBM presents several hurdles, especially when treating with anti-angiogenic drugs.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com