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

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.

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.

MDS Radios

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:

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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. 👇 👇 👇

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

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.

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

Originally Published in CRN, by Lindsey O’Donnell

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.”

micro data centerGrayMatter 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.”

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TechHub: Putting the Industrial Internet Hype to Work, Smart Service Energy & More

Putting the Industrial Internet Hype to Work

The Industrial Internet of Things dominates manufacturing hype. Beyond this, certain manufacturers are putting powerful technologies to work – General Electric employees, for example, with their brilliant factories.

GE’s remanufacturing plant in Grove City, Pa., is a shining example of one of those brilliant factories, according to Industry Week.

Once a food packaging plant decades ago, the factory has transformed into a high-tech home for the remanufacture of diesel engines for locomotives.

“We’re taking digital technologies that people are really comfortable with outside of work and bringing them into work — whether that’s iPads, or phones, or just visual data,” said Jamie Miller, the former GE senior vice president and CEO of GE Transportation who was just promoted to CFO. “It was something that people could readily see because they use it outside of work.”

By doing so, it created a condition-based manufacturing system that allowed the workers to tailor what they do to rebuild engines in a faster, more productive manner, according to Miller.

Its brilliant factories  —  Grove City is one of less than a dozen around the world  —  revolve around lean manufacturing principles, additive manufacturing, advanced manufacturing technologies and digital manufacturing. Its industrial cloud platform, Predix, allows customers to replicate that on a smaller level, extending industrial automation to the cloud.

John Deere Investing in AI for Autonomous Farming

John Deere is buying a California artificial intelligence startup that makes machine learning tools for agriculture as part of their quest to automate farming, according to the Verge.

The cutting-edge machine vision tools help farmers scan fields, assess crops and get rid of weeds — all at the same time.

Source: Blue River Technology

A set of cameras fixed onto crop sprayers use deep learning to identify plants, hitting weeds with pesticide and crops with fertilizer, all of which can be customized by the farmer.

This can save up to 90% of the volume of chemicals being sprayed, while also reducing labor costs.

John Deere has been working on autonomous tractors before Tesla and Google even existed, according to the Verge, but its current most advanced vehicles only assist navigation.

The new technology creates a more efficient crop spraying system, allowing farmers to do more with less.

Smart Service Strategy: GE Oil  & Gas Case Study

In 2014, GE Oil & Gas management wanted to improve the revenue capacity of its field service operation, which they were confident could be accomplished by streamlining operations and increasing the billable utilization of their 575+ field service engineers (FSEs).

They knew visibility could be created with a smart service platform, switching over from most engagements being handled using paper forms or whichever process was customary within a particular geographical region.

“No one likes to change,” said GE Oil & Gas Information Management Subsea Services Project Manager Lydie Victoire. “But to increase profitability, we needed our people to adopt this new way of doing field service.”

smart service strategy

The solution was going digital, but in a completely customized way that allowed a set of field service functions for the initial project rollout to look a lot like the old paper-based process.

Going digital allowed them to:

“To optimize field efficiency, GE Oil & Gas needed more real-time visibility into its field service operation,” says GE Oil & Gas Executive Service Director Leigh Martin.

“We needed better data on the work activities of our field service engineers. And for that, we needed a field service platform.”

Download the case study to learn more about how GrayMatter innovates with partners on smart service strategies.

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