They have a home grown AI accelerator along with free Deep learning SDK.
Also offer a pretty easy online tool (free again) to use called TI Edge AI studio. They are using extending the existing AI solutions that come from the higher performance parts like TDA4 and AM68A parts. Pretty good considering a lot of these manufactures are just buying other AI Ip that isn’t performing great and investing in their own engineering.
Not discrediting the article however is this partially incorrect? Most of these embedded Linux devices that are “intelligent” doorbells, that is run inference locally vs cloud compute, can’t locally build models however can run inference. So they must send new facial images of people they want to identify to a cloud solution to do so?
Long day, not sure if words are my friend right now…
This is a difficult thing to just say "I do this and here is what I did". People's body's can be very different. For example, pro cyclists burn fat and carbs differently than normal people do to years of conditioning( aka base miles). That high fat diet only works for super intense athletes. Try and let me know how your cholesterol levels end up. Haha
Food prior to very long endurance Activites is good to stop the gastrointestinal events during the event. So I do agree with the benefits there however gels unlike solid food better absorb and replenish carbohydrate stores so you can maintain higher/intense efforts for longer. Otherwise you could "bonk". But yeah... It all depends on the activity, duration, intensity , pre-training and food consption etc...
I race/ride bikes as well. So 250-300mi or 15hr each week on the bike( more if I didn't have a day job).
IMO - This article is an over simplification. Data sheets need to be book worthy documentation due to the behavior of complex semiconductors. I believe Datasheets are law abiding documentation? If something is out of spec or out of characteristics is is considered faulty which means loss of money or competitors can get in.
What I'm really interested is in what peoples opinions are regarding the navigation of content and material of these large scale Semiconductor Sites. They have 50k plus products which are all very complicated and specific to a use-case. I find there is a constant struggle to route people to the right solution especially when engineers can use different parts in new creative ways. ADI, Texas Instruments, and Maxim all fall in this boat.
Maybe I'm crazy but if it is a physical battery swap then this brings memories of history class. Horses were swapped along the silk road to extend distance in shorter range of time. Same goes for horses as do batteries I guess. They get the job well on more available energy but take for ever to regain to keep going. 2c of thought
They have a home grown AI accelerator along with free Deep learning SDK.
Also offer a pretty easy online tool (free again) to use called TI Edge AI studio. They are using extending the existing AI solutions that come from the higher performance parts like TDA4 and AM68A parts. Pretty good considering a lot of these manufactures are just buying other AI Ip that isn’t performing great and investing in their own engineering.