Porting for Edge Devices

Robust systems, built for speed

Robust systems, built for speed

We provide custom services of your business and industry to leverage the power of intelligent algorithms by training, optimizing and porting to the edge devices making decisions in a matter of milliseconds.

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This allows sequence data to be converted and linked together in a model to be studied and outputs to be obtained.

Unbreakable intelligence

By thoroughly testing the hardware and software failure points, we ensure that the intelligence and advantage of edge compute isn't compromised to deliver what you expect.

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When functional, it is a good to have aspect for any technologically agile organization but there is always scope for improvement.

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Unbreakable intelligence

Distribute to disrupt

Distribute to disrupt

Artificial Intelligence (AI) models which are trained in the cloud, optimized and deployed on the edge have the advantage of:

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Scalability with high number of devices
High speed in real-time decision-making scenario, where latency resulting from cloud compute might not be a good idea.
Availability for offline functionality
Reducing bandwidth load for high-data generation activities

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Tools

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Insights into item

An Introduction To Deep Tech

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An Introduction To Deep Tech

Deep Tech differs from traditional tech as deep tech startups are usually the combination of technology and scientific talent that work towards a common goal.

Deep Learning and AI: Applications

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Deep Learning and AI: Applications

Computers have come a long way from being a calculator to bearing artificial intelligence capacity, giving incredible results. Sometimes, those results are better than the average human outcomes, in highly specialized situations. Recent developments and technological breakthroughs have allowed computers to develop highly optimized analytical frameworks and predict situations with high degrees of accuracy. Thus, Artificial Intelligence and technologies like Deep Learning have extensive applications in nearly all sectors. In many scenarios, these technologies are making work possible without any human intervention.

The Difference Between Deep Learning And Machine Learning

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The Difference Between Deep Learning And Machine Learning

Deep learning and machine learning both fall under the concepts of machine intelligence, which falls under the broader term artificial intelligence. Therefore, to understand what these two terms mean, we need to look at what artificial intelligence (AI) stands for. Due to the high accuracy of predictions and minimal range of errors presented through the self-training models, engineers prefer deep learning over machine learning.

Case Studies

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