TechHub: Google’s AI makes one smart cookie, MDS Radios digitizing industrial communications & more

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Digitizing Industrial Infrastructure Communication

Running a city with a population in the hundreds of thousands, or millions, in a hot climate like Florida’s leaves no room for error — especially when tourism is a huge sector of the booming economy.

Ensuring residents have all the essentials — including uninterrupted water and wastewater services — requires a constant choreography that is as complex as it is invisible to its users.

One thing is certain: people expect their water and wastewater systems to work all the time, no matter the conditions.

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One utility came to us with a huge concern, “if our network goes down, what do we do?”

GrayMatter stepped in to help, implementing a SCADA backup communication system with MDS radios.

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Ethernet connectivity was implemented to their SCADA system with a failover to cellular communication if the signal dropped.

By helping the water utility secure connectivity, machine communication became a guarantee and fear of lost network connections were a worry of the past.

Click here to read more about MDS radios:

[ut_button color=”red” target=”_blank” link=”https://graymattersystems.com/mds-radios-digital-industrial-communications/” size=”medium” ]Take a Look[/ut_button]
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Google Takes AI to the Next Level with Pittsburgh Bakery

Google decided to once again prove the power of artificial intelligence by solving a pressing real-world challenge: designing the best possible chocolate chip cookies using a given set of ingredients.

Through trial and error of batches, matched with rating scores for each recipe by Googlers, the AI learned and adjusted until it was deemed worthy. After coming up with a really good recipe within Google, the team wanted to branch out and see what else they could do with the “smart cookie,” according to Google.

Jeanette Harris & Google Team presenting the chocolate chip and cardamom “smart” cookie. source: Google blog

This led the team to Gluten Free Goat Bakery & Cafe, a gluten-free and vegan bakery that sources local, seasonal and organic ingredients, who happily let the Google team take a crack at a more complex and challenging recipe that fit their style and criteria.

The new AI-generated cookie took over two months and 59 test batches before they landed on the “chocolate chip and cardamom cookie,” which matched unusual ingredients to create a new take on the classic chocolate chip cookie.

“This was such a fun experiment! Being able to create something entirely new and different, with the help of AI, was so exciting and makes me wonder what other unique recipe concepts I can develop for my customers,” said Jeanette Harris, owner of the bakery.

Check out the recipe listed below to replicate the smart cookie yourself. 👇 👇 👇

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Ingredients

Tapioca Starch: 1/2 Cup + 2 TBSP

Brown Rice Flour: 1/2 Cup

0G Sugar: 3/4 Cup + 1.5 TBSP

Cardamom: 2 tsp

Flaxseed Meal: 1.5 TBSP

Sorghum Flour: 1/4 Cup

Raw Sugar: 1/4 Cup

Xanthan Gum: 1.5 tsp

Sea Salt: 1.5 tsp

Baking Soda: 1 tsp

Chocolate Chips: 1 Cup

Water: 3/4 Cup

Safflower Oil: 3/4 Cup

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Directions

Combine all the dry ingredients except the chocolate chips in a bowl and mix well.

In another bowl, combine all the wet ingredients, and then add to the dry ingredients and mix enough to combine.

Add the chocolate chips and fold in until just mixed. Using a large spoon, drop on parchment lined sheet pan and bake at 350F for 12 minutes.

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Life on the Edge: Why Micro Data Centers Are the Next Frontier

Originally Published in CRN, by Lindsey O’Donnell

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Pittsburgh-based industrial solution provider GrayMatter has found massive opportunities for edge computing on manufacturing floors where customers may have mission-critical infrastructure that requires high reliability and can’t afford downtime.

“Edge is almost a continuum of possibilities, from servers with tons of edge computing power and storage, down to a really simple, not expensive, lower intelligence to just bridge the data up to the cloud—so it depends on how much latency you can handle in an application, how much local intelligence needs to go on,” said CEO Jim Gillespie. “For a manufacturing plant, it’s very important to close the loop locally, for other applications like lighting going up to the cloud, you don’t need as much at the edge.”

GrayMatter has a big role in working with customers to understand where the edge will really drive value and how that will impact business outcomes, according to Gillespie.

“It’s a conversation around the outcomes, so you really have to understand the right questions to ask and the right way to design a solution,” he said. “We would weigh in with the client and design something that meets the outcomes they’re looking for. Almost everything has edge computing, and then it depends where the analytics need to happen, and there’s some sort of connectivity or either local buffering or on ramp to the cloud.”

Read Full Article.