Deep Learning

What’s in it for me?

Where can I use it? Can I solve real problems with it?

There are many use-cases where you could leverage Deep Learning to solve complex problems. Let’s list some real examples in mature industries where this approach might be very useful:

Agriculture

To reduce and optimize the use of chemicals: spray only when needed.Identify plant pests and diseases automatically so the farmer can act quickly and precisely.

Healthcare

Specialists can make accurate decisions faster and detect problems in real-time with the help of Deep Learning in medical areas such us dermatology, radiology and other disciplines.

Manufacturing

Visual inspection for defect detection: identify defects on components or products for an improved quality.Predictive maintenance for higher availability and less unplanned downtimes of the machinery.

Agriculture

To reduce and optimize the use of chemicals:
spray only when needed. Identify plant pests and diseases
automatically so the farmer can act quickly and precisely.

Healthcare

Specialists can make accurate decisions faster and detect problems in real-time with the help of Deep Learning in medical areas such us dermatology, radiology and other disciplines.

Manufacturing

Visual inspection for defect detection:
identify defects on components or products for an improved quality.
Predictive maintenance for higher availability and less unplanned downtimes of the machinery.

Let’s see it in action!

We built a Cat or Dog image classifier as a proof-of-concept.
Load a pic of your pet and get ready to marvel!

Cat or Dog?
We build next generation software products, bringing consumer-software innovation to the enterprise.
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