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Deep-learning technology developed by a team of Johns Hopkins engineers and cancer researchers can accurately predict cancer-related protein fragments that may trigger an immune system response.
Recent developments in AI have left legislators scrambling to prevent worst-case scenarios from becoming realities in the near future.
It uses a competitive learning approach against unlabelled data.
Compiled by the MLCommons group that benchmarks AI chips, MedPerf allows clinicians to keep patient information private while letting algorithm developers test their programs on real-world data.
Sean Ekins and Fabio Urbina, two Collaborations scientists, decided to tweak their drug discovery platform to see what results they might produce. The platform was reprogramed to generate VX, one of the deadliest and fastest-acting chemical warfare nerve agents.