All posts by Joel Hoffmann

www.linkedin.com/in/joelhoffmann

Why the IoT depends on analog technology

Among the advantages of analog is that is offers an infinite number of representations — for example, on a clock, as the hands move around the clock it can represent every single possible time, while a digital clock has a finite number of possible times it can represent

Read the full article at: iotdesign.embedded-computing.com

Contrary to popular belief, analog is not “bad”, in fact it is better than digital, proven example in the human brain – stores and thinks using analog. If computers could do this they’d be way, way more powerful. The software is too tough for most brains to write though. 😉

10 Predictions for the Future of IoT – OpenMind

A Google search for “Internet of Things” term reveals over 280,000,000 results, thanks to the media making the connection between the smart home wearable devices, and the connected automobile

Read the full article at: www.bbvaopenmind.com

280M responses is a lot of IoT to sort thru. The Connected Car is just beginning to be on the search list. Matching cars up to home and wearables is a totally untapped market – if people care about it.

US CDC says conventional tech would halve car crash fatalities

And if the U.S. had the same rate as Sweden—the country with the lowest crash death rate—about 24,000 fewer lives would have been lost and an estimated $281 million in direct medical costs would have been averted in 2013

Read the full article at: safecarnews.com

I really hate it when they develop statistics comparing the US to Sweden since there’s almost no comparison possible. However, when it comes to saving lives in car accidents, I suppose whatever it takes is worthwhile.

Ford uses NVIDIA Deep Learning for lane position

after a thorough evaluation of the results that they could proudly claim, “we are able to estimate the lane position in 99% of the cases with less than five pixel error”

Read the full article at: safecarnews.com

Lane positioning and precise object location (in this case striped on the road) is one of the biggest challenges toward autonomous driving. Triple redundancy needs all the sources of information possible.

Intel Disrupted: Why large companies find it difficult to innovate, and what they can do about it

It’s becoming clear that extracting intelligence from that big data requires machine learning architectures which are better implemented with non x86 chips from companies like NVidia. It’s possible that by the end of this decade history might repeat itself in Intel’s most profitable segment.

Read the full article at: www.linkedin.com

Intel must think and execute like a startup, otherwise the failure in mobile will repeat as a loss at the enterprise – but not without a fight. More is to gain by offense than defense, however.

Car Wars: The Battle For Automotive Tech

it will likely be the end of the decade before we really know how the car wars play themselves out. In the meantime, it’s going to be one of the most epic battlegrounds for both new world and old world businesses the market has seen in quite some time

Read the full article at: seekingalpha.com

What is missing from this excellent summary of the autonomous driving players is the critical Functional Safety element which will prevent any new player from joining the party until they have decades of proof points. No lawyer wants to take chances while technology is claiming to save lives, not lose more.