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aLL-i partnership by aLL-i MOveO 

aLL-i@MOveO  has  engaged in collaborative research partnerships with all interested start ups  and leading technology companies since its foundation. These partnerships benefit from shared goals and resources, and have resulted in significant technological advances and innovative new solutions.

We're living in a time of continuous change. To thrive in this environment, organizations need to use new technology and methods to continually innovate, to rethink and redesign processes, and to deliver better customer experiences. Digital Transformation provides the opportunity for core business functions to fundamentally change the way work is done so that the organization can grow and remain competitive over time.

We are open to consider Our research  to be sponsored by a large number of diverse sources, from  government contracts to the private sector. Government agencies include the Defense  Projects , Science Foundations and others. All are projects, direct invovement , all sorts of funding and sponsorship under collaborative bids to be out all together to compete to create resources for our research and technology development would be very welcome.

aLL-i@MOveO, provides non-profit consultancy and partnership on data driven engineering and applications. We aim to donate all profit from our engineering services to support IMechE support network and Royal Academy of engineering to support engineers and propmote engineering profession, we do partner for good.

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aLL-i   partnership 

aLL-i   partnership  featured prouduct design

We work closely with our clients  to provide an introduction to the range of practical engineering problems that deep learning is well suited for, and explain why it can solve these problems when traditional methods fall short; either by being inefficient, inaccurate, or impractical. At the end we cover how we can synthesize the training data through simulation rather than going out and collecting it directly with field measurements.We need to consider that the trained network is usually part of a larger system and it needs to be incorporated into that design. We also want to have some amount of confidence that the model will work on unseen data and that it’s going to interact as expected with the other system components. Ultimately, we also want to deploy it onto a target device which requires certain performance characteristics.

Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks such as image classification, localization and detection. Recent developments in neural network (aka “deep learning”) approaches have greatly advanced the performance of these state-of-the-art visual recognition systems. We provide engineering services tocustomer to  implement, train and debug their own neural networks and gain a detailed understanding of cutting-edge research in computer vision.

We're living in a time of continuous change. To thrive in this environment, organizations need to use new technology and methods to continually innovate, to rethink and redesign processes, and to deliver better customer experiences. Digital Transformation provides the opportunity for core business functions to fundamentally change the way work is done so that the organization can grow and remain competitive over time.

In this era of big data, there is an increasing need to develop and deploy algorithms that can analyze and identify connections in that data. Using machine learning (a subset of artificial intelligence) it is now possible to create computer systems that automatically improve with experience. This technology has numerous real-world applications including robotic control, data mining, autonomous navigation, and bioinformatics.

It is not a question of "if" your company should take on a digital transformation, but "how."  Collaborative research  provides a comprehensive framework for implementing digital transformation throughout your company. It brings together proven tools and techniques that can be applied across business units — Development to Manufacturing — to make your company’s transformation complete, sustainable, and effective.

aLL-i@MOveO  has  engaged in collaborative research partnerships with all interested start ups  and leading technology companies since its foundation. These partnerships benefit from shared goals and resources, and have resulted in significant technological advances and innovative new solutions.

We are open to consider Our research  to be sponsored by a large number of diverse sources, from  government contracts to the private sector. Government agencies include the Defense  Projects , Science Foundations and others. All are projects, direct invovement , all sorts of funding and sponsorship under collaborative bids to be out all together to compete to create resources for our research and technology development would be very welcome.

aLL-i   partnerhip sponsorship

aLL-i  partnership collaborative research

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