A team from Osaka University has developed a large-scale drug screening technique that can track target molecule behavior within cells. The researchers verified their technique by testing the epidermal growth factor receptor (EGFR), a known target for cancer drugs. Their drug screening resulted in the identification of the known drugs, as well as others that were not previously known to affect EGFR. This new method can potentially help develop new drugs and repurpose existing drugs.

The team deploys the decomposed model on-chip and leverage the high computing efficiency of ReRAM to compensate for the decompression performance loss. In this paper, we propose ARCHER, a ReRAM-based PIM architecture that implements fully on-chip recommendations under resource constraints. The team deploys the decomposed model on-chip and leverage the high computing efficiency of ReRAM to compensate for the decompression performance loss. In this paper, we propose ARCHER, a ReRAM-based PIM architecture that implements fully on-chip recommendations under resource constraints.