Harsha Medu

Abstract Edge devices are increasingly being deployed to sense and act on information from the physical world. The discrete Fourier transform is widely used to make these sensed data suitable for further processing and transmission over communication networks. Analogue in-memory computing can provide energy-efficient processing at the edge, particularly for artificial intelligence workloads, but it has not been extended to large Fourier transforms.

Article By : Harsha Medu Advances in automotive electronics have substantially increased the challenges associated with EDR datalogging. Event data recorders (EDRs), often called black boxes, are not new in automotive electronics. EDRs have been recording data in cars for almost 50 years. During this time, the electronics inside cars has evolved dramatically. And, with so much research into self-driving technology, even more changes are to come.

Event data recorders (EDRs), often called black boxes, are not new in automotive electronics. EDRs have been recording data in cars for almost 50 years. During this time, the electronics inside cars has evolved dramatically. And, with so much research into self-driving technology, even more changes are to come. These advances in automotive electronics have substantially increased the challenges associated with EDR datalogging.