Manufacturing Intelligence

Tactical and practical advice for optimizing product and line performance for engineers.

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Serverless Deep Learning: Challenges and Benefits

Rustem Feyzkhanov, along with the rest of the Instrumental machine learning team, create analytical models for manufacturing defect detection.

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A manufacturing exodus due to tariffs puts companies that rely on U.S. sales at a disadvantage

As tariff escalations continue, companies work to move their supply chains out of China. Unfortunately, the impact on innovation is already visible – and it’s unlikely to get better.

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The 7 Problems Manufacturers Will Need To Solve To Move Their Supply Chains Out Of China

With tariffs on the horizon, consumer electronics companies debate moving their supply chains out of China. From sourcing operators, to capital equipment costs, manufacturing companies face complex issues that may result in product release delays this holiday season.

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Motorola Uses Machine Learning to Boost Quality (via Automation World)

Automation World shares how Instrumental's software puts machine learning in the hands of mechanical engineers.

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Case Study: Motorola Accelerates Product Maturity During Development

Motorola sees significant efficiency gains by implementing Instrumental on its entire line of mobile phones.

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Industry 4.0: Generalized Technologies Replace Purpose-Built Ones On The Factory Floor

Generalized tools, machines, and inspection are providing higher value today on the path to Industry 4.0.

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How to Detect Defects Using AI (from Nanalyze)

Nanalyze shares how Instrumental's AI stands apart from other companies tackling industrial vision.

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Former Apple engineers working with Motorola to stamp out manufacturing defects (via CNBC)

Instrumental announces its partnership with Motorola Mobility to accelerate the smartphone development process.

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