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Power/Performance Bits: Nov 28


Deep learning to detect nuclear reactor cracks Inspecting nuclear power plant components for cracks is critical to preventing leaks, as well as to control in maintenance costs. But the current vision-based crack detection approaches are not very effective. Moreover, they are prone to human error, which in the case of nuclear power can be disastrous. To address this problem, Purdue Universit... » read more

Power/Performance Bits: Jan. 10


Antiferromagnetic magnetoelectric RAM Researchers at Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Swiss Nanoscience Institute, and the University of Basel developed a concept for a new, low power memory chip. In particular, the group focused on finding an alternative to MRAM using magnetoelectric antiferromagnets, which are activated by an electrical voltage rather than by a current. "... » read more