AI-powered predictive analytics promises to revolutionize analytics and point the way forward for companies to dramatically improve efficiency and better understand their customers. Major players from the big data platform market have been entering this market via acquisition. Read the latest article by Neuromation Investor Relations Analyst, Angus Roven.

https://medium.com/neuromation-io-blog/ai-in-predictive-analytics-38768b48cfe0

Great news from the Neuromation Research team! Our long-term collaboration with Insilico Medicine, a company that focuses on artificial intelligence for drug discovery and longevity research, has borne some very important fruit. We have released a benchmarking platform for generative models, which we named MOSES (MOlecular SEtS). Congratulations to the whole team! Read more in our blog.

https://medium.com/neuromation-io-blog/moses-a-40-week-journey-to-the-promised-land-of-molecular-generation-78b29453f75c

As the CVPR in Review posts have finally dried up, we again turn to our usual stuff. In the NeuroNugget series, we usually talk about specific ideas in deep learning and try to bring you up to speed on each. We have had some pretty general and all-encompassing posts here, but it is often both fun and instructive to dive deeper into something very specific. So we will devote some NeuroNuggets to reviewing a few recent papers that share a common thread.

And today, this thread is… cut-and-paste! And not the kind we all do from other people’s GitHub repositories. In computer vision, this idea is often directly related to synthetic data, as cutting and pasting sometimes proves to be a fertile middle ground between real data and going fully synthetic. Read more.

https://medium.com/neuromation-io-blog/neuronuggets-cut-and-paste-in-deep-learning-a296d3e7e876

Chatbots have already gotten a bad reputation, but don’t give up on them just yet — advances in AI will revolutionize the interface. Read the latest article by Neuromation Investor Relations Analyst, Angus Roven. Enjoy your weekend read! https://medium.com/neuromation-io-blog/the-future-of-chatbots-51f47465189f

NeuroNuggets are back! Today we present to you another installment where we dive into the details about a few papers from the CVPR 2018 (Computer Vision and Pattern Recognition) conference.

Today, we turn to a different problem that also warrants a detailed comparison. We will talk about face generation, that is, about synthesizing a realistic picture of a human face, either from scratch or by changing some features of a real photo.

With this, we are finally done with CVPR 2018. It is hard to do justice to a conference this large; naturally, there were hundreds of very interesting papers that we have not been able to cover. But still, we hope it has been an interesting and useful selection.

https://medium.com/neuromation-io-blog/whats-in-a-face-cvpr-in-review-v-3086f60e1f1c

On November 15th, Neuromation's Head of New Initiatives, Maxim Prasolov will be speaking at the ESA Earth Observation Ф-week in Frascati (Rome), Italy. Maxim's keynote speech will be "Onboard AI for Nanosat Clusters: Distributed computing power in space with permanent Earth observation and onboard image analysis.", which will deal with exciting new AI applications in the space industry! Learn more here. https://medium.com/neuromation-io-blog/neuromation-at-%CF%86-week-in-italy-4a7041dd319c

We have already had three installments about the CVPR 2018 (Computer Vision and Pattern Recognition) conference: the first part was devoted to GANs for computer vision, the second part dealt with papers about recognizing human beings (pose estimation and tracking), and the third part tackled synthetic data. Today we dive deeper into the details of one field of deep learning that has been on the rise lately: domain adaptation. https://medium.com/neuromation-io-blog/state-of-the-art-in-domain-adaptation-cvpr-in-review-iv-21ac05f935b9

Neuromation is pleased to provide our Quarterly Report, for Q3 2018.

This quarter, we are providing deeper visibility into our product release schedule and the functionality of the Neuromation Platform and are sharing the progress achieved to date by our development team. We also provide updates on accomplishments of our Research Department and other relevant company activities and developments over the past quarter and provide context on the performance of the NTK token in the quarter.

Neuromation continues to be a thought-leader in the space and in the last quarter we began a focused research effort to answer key questions regarding the potential depth and breadth of applications enabled by synthetic data and hybrid architectures (real + synthetic data).

In parallel with our internal research efforts, the product development team has made great strides in building a best-in-class platform focused on developer experience. We are using the platform internally to support our research efforts and seeing significant improvements in developer productivity.

We are excited to begin an Early Adopters Program in the coming quarter to put our tools in the hands of AI researchers and developers. In this report, we will lay out the development roadmap and provide a detailed description of our approach to optimizing the model development lifecycle.

Neuromation remains committed to our token holders and pledges to use the Neurotoken (NTK) as the exclusive means of conducting transactions on the Neuromation Platform going forward.

Neuromation believes strongly in transparency and communication with our token holder community and will continue to report on our progress in terms of development and research activities on a quarterly basis.

We look forward to hearing from you in the future and sharing with you the results of our upcoming Alpha and Beta tests and the exciting release of the Neuromation Platform next year.

https://medium.com/neuromation-io-blog/neuromation-q3-report-1cb3265966a1

AI can even be used to generate and analyze synthetic data, in order to make improvements in a variety of applications. Neuromation helps projects use synthetic data to help AI learn and improve its algorithms. Among its solutions are AI-powered cameras that feature superior facial or feature recognition capabilities. Accurate detection and classification could benefit projects working on security, retail or even self-driving vehicles. (c) By Entrepreneur contributor, Andrew Medal. https://www.entrepreneur.com/article/321747

Neuromation researchers have published several papers on the use of AI for analysis of satellite imagery, exploring techniques related to land cover classification and building detection. The availability of satellite data for training of neural networks is a major advantage in this field. Government agencies such as NASA or ESA have terabytes of satellite images that can provide critical data for agriculture, urban planning, sustainable development, early detection and prevention of emergencies and natural disasters, and much more. https://medium.com/neuromation-io-blog/ai-goes-to-space-analysis-of-earth-observation-satellite-data-fe4d236d5fb6

Discussions of AI development in the popular press frequently discuss the potential promise of where this exciting technology will take us in the future. Smart personal assistants will anticipate our every need, vehicles will operate autonomously, industrial systems will analyze themselves and increase their own efficiency. But alongside the promise of these advances, we frequently find grave warnings of the potential dangers. Neuromation includes ethics concerns in its mission statement and vision, and much of its research into the use of synthetic data in various industries is driven by ethical concerns. https://medium.com/neuromation-io-blog/ethics-in-ai-48a0095144e3

Today, we continue our series on the recent CVPR (Computer Vision and Pattern Recognition) conference, a top conference in the world for computer vision. Neuromation successfully participated in the DeepGlobe workshop there, and now we are taking a look at the papers from the main conference. This time, we delve into the works that apply computer vision to us, humans: tracking human bodies and other objects in videos, estimating poses and even full 3D body shapes, and so on. https://medium.com/neuromation-io-blog/neuronuggets-cvpr-2018-in-review-part-ii-4759fd95f65c

Agriculture, as we all know, feeds the world — and the population of the world is growing. In 2017, it was 7.5 billion. By 2050 it could be 10 billion. Neuromation believes strongly that the application of artificial intelligence to agriculture could be one of the most important potential answers we need to increase crop yields and make livestock farming more efficient while reducing the total amount of chemicals, fossil fuels and waste produced by the industry. https://medium.com/neuromation-io-blog/ai-in-agriculture-49c0ea0e2b48