It should be clear by now that an IoT system not a simple plug-and-walkaway affair. There are many things to consider such as data analytics, model building, and hardware implementation. Also, to create a low-power scalable system, artificial intelligence (AI) should be acknowledged as a powerful tool and a means to those ends.
Trying to rein in all these factors successfully can be a daunting task if you only have half a clue of what to do. You could just plug and walk away or take advantage of some serious education today.
At Sensors Expo & Conference 2019 in San Jose, CA, on Wednesday, June 26, from 3:30 pm to 4:20 pm PST, you can get a leg up on the IoT/AI equation by attending the educational session titled, “AI at the Endpoint Device” offered by QuickLogic Corporation. This session, delivered by semiconductor industry veteran Sam Massih, will help attendees navigate the road to how to build intelligent endpoints quickly and easily from start to finish, optimized for low power at multiple levels, and with significant time to market gains.
Sam Massih, QuickLogic’s Corporate Strategy & Marketing expert, is a semiconductor industry veteran with 20 years of experience in establishing, growing, and managing technology-based businesses. His career has centered around defining and launching new semiconductor devices targeted at consumer markets such as mobile, tablet, STB, LCD TV, wearables, hearables, HMD/VR, and the very wide-ranging market for IoT device’s.
Mr. Massih’s past ventures have taken him to Maxim, NXP, and Semtech where he's been responsible for establishing and growing analog video, LED, and touch interface businesses, respectively. Sam's most recent challenges have been at InvenSense (TDK) where he worked with enabling new sensors and use cases in wearable products and is now working at Quicklogc where he is focusing on the next generation of IoT products that employ voice and sensors to provide a rich user experience delivered by low-power multi-core processing SoCs. Mr. Massih holds a MBA from the UC Berkeley Haas School of Business, a MSEE from University of New York, and a BSEE from Pennsylvania State University.
Sam is no stranger to Sensors Expo, “I have presented at Sensor Expo in the past with the most recent being last June and the topic was always-on voice listening. Sensors Expo is a great gathering of sensor technology providers for the industrial and consumer markets. It brings all the key players under one roof and is useful for networking and understanding the different options available.”
Of his session, he says, “I will be discussing enabling AI at the Endpoint device. With the proliferation of smart devices in consumer and industrial, it makes sense to democratize AI for those OEMs that don’t’ have large teams of data scientists and firmware engineers. Quicklogic’s QuickAI solution is a tightly integrated HW/SW solution powered by SensiML’s data analytics Toolkit that creates the models and algorithms based on labeled sensor data along with Quicklogic’s low power multi-core SoC platform. This solution can easily implement predictive maintenance for motors, bearings as well as activity classification and context awareness for a mobile or wearable device. The most important takeaway is that QuickAI can easily be used by non-data scientists to develop AI for IoT devices where battery life and MIPS are at a premium.”
Sam concludes, “We will be exhibiting at Sensor Expo our fan demo that emulates a predictive maintenance application in a factory as well as SensiML’s data analytics tool.” Be sure to visit Quicklogic at booth 526.
But before you can do any of the above, there’s one extremely simple thing you need to do: register for Sensors Expo. Then, all you have to do is attend the “AI at the Endpoint Device” session Wednesday, June 26, from 3:30 pm to 4:20 pm PST. And you are waiting here for what? Go register!