An amazing panel of AI innovators joined us at the OâReilly AI conference to answer the most pressing AI questions from Quora. We also discussed trends in the industry and some exciting new advances in FPGA hardware.
Matched from the episode's transcript đ
Osamah Mohammed Ali: [39:57] And the most exciting thing⌠FPGA is a very exciting thing for me right now, but I believe [unintelligible 00:40:03.06] of SDR and FPGA together - thatâs whatâs gonna change the way we push AI o the edge. Because imagine - you donât have the limit of a certain technology that already sits on this device; just because the technology changed in a few weeks, or weâve found a silicon-level issue with the design itself⌠Since FPGA, itâs easy to rearrange. Itâs just firmware that you can actually push, and make it easier, a lot easier to control.
SDR also, pushing SDR - which is software-defined radio, basically. Thatâs gonna make 5G technology, LTE technology and IoT technologies without being stuck in a limit. And imagine if you actually let the machine decide the control of the waves, and the control of which band to actually use, to make sure a swarm of drones, for example, stay always connected. So AI is gonna get pushed to that, and I believe FPGA â I mean, weâve been in the network industry for a while⌠It started with FPGA, especially on the network side, because itâs easier than building a complete ASIC, go to the market. But with FPGA pricing going extremely down in the last 5-6 years, until introduction of a new type of FPGAs that are actually built for intermediate devices⌠Itâs not just input/output features; you have more cores from the technology thatâs available to you.
I believe, [unintelligible 00:41:33.01] Python being able to actually utilize, to control SDR and FPGA - and we did some research on that - on the edge of the network. Itâs extremely amazing. It can push AI capabilities a lot more to the edge, and use more sensors capabilities, utilizing that FPGA and sensor fusion. You donât need a lot of sensors. You can use less channels by fusing your data together, and having like â we refer to it as the edge of the network, which we refer to it as MAEC (multi-access edge compute) today. But we also believe thereâs another layer, so not everything is gonna be in the cloud. Itâs in the edge, but also furthermore on the device itself.
There will be some decision-making happening there to eliminate the amount of bandwidth we use. Otherwise, all these connected devices will send so much data; no matter what technology we have, itâs not gonna be enough to process it.