AI and conventional computers are a match made in hell.
The main reason is how hardware chips are currently set up. Based on the traditional Von Neumann architecture, the chip isolates memory storage from its main processors. Each computation is a nightmarish Monday morning commute, with the chip constantly shuttling data to-and-fro from each compartment, forming a notorious “memory wall.”
If you’ve ever been stuck in traffic, you know the frustration: it takes time and wasted energy. As AI algorithms become increasingly complex, the problem gets increasingly worse… Continue reading.
WASHINGTON, D.C.— The American Institute for Medical and Biological Engineering (AIMBE) has announced the pending induction of Gert Cauwenberghs, Ph.D., Professor of Bioengineering; Co-Director, Institute for Neural Computation, Department of Bioengineering, University of California, San Diego, to its College of Fellows. Dr. Cauwenberghs was nominated, reviewed, and elected by peers and members of the College of Fellows For outstanding engineering contributions to micropower integrated biomedical instrumentation and brain-machine interfaces.