No...
Saw this the other week but didn't post it. Need
@Diogenese to give the full rundown. Above my paygrade.
IoT: new energy-efficient chips could expand the scope of artificial intelligence in edge computing
"Last year, in an
article in Nature Communication published in collaboration with scientists from, among others, Robert Bosch GmbH, the Technical University of Munich, and the Indian Institute of Technology in Kanpur, Kämpfe unveiled an innovative chip design that makes use of ferroelectric field effect transistors
(FeFET) that can store information even when they are disconnected from a power source. The new chip also has the key advantage of being able to simultaneously store and process data in transistors, which greatly reduces the bottleneck between data processing and memory."
“The chip we developed with Bosch and Fraunhofer IMPS, which is currently in production in the USA at GlobalFoundries, can deliver 885 TOPS/W”, explains the researcher. For an idea of what this means in practical terms, consider that GPU chips currently used in AI deliver 10 to 20 TOPS/W [Tera Operations Per Second and per Watt]. For the time being, however, the developers of the new architecture are not aiming to replace GPU-based systems but to target a range of uses in edge computing, where AI is deployed at the point where data is collected: in IoT devices, sensors and autonomous vehicles.
“One use case, for example, is in automobile systems that pre-analyse objects captured by cameras” without relaying data to a central processing unit. The new chips will therefore open up opportunities to implement AI in highly miniaturized low-latency systems.
“In the future, we will get around to integrating them into larger systems,” points out Thomas Kämpfe."