Knowledge mining is the future.
The Neuromation Platform will push the limits of the use of synthetic data, by proposing a solution in which perfect labelling is guaranteed by construction: the artificial synthesis of large datasets along with perfectly accurate labels.
Deep learning and knowledge mining employ artificial neural networks of extremely large capacitance and require highly accurate labelling. Collecting large datasets of images, text and sound is easy, but describing and annotating data to make it usable has traditionally been challenging and costly. Crowdsourcing was applied to the problem of dataset creation and labelling a few years ago, employing large numbers of humans to correct mistakes and improve accuracy. It proved slow, expensive and introduced human bias. Besides, there were tasks that humans simply could not perform well, such as estimating distances between objects, quantifying lighting in a scene, accurately translating text, and so on.
David Orban: “I was impressed by the Neuromation team and offered to become an advisor to the project. There is currently no general tool set available that can help use synthetic data at scale. Neuromation is making a revolution by building a critical component of the budding AI eco-system and plan to capitalize on the first-mover advantage: The Neuromation Platform provides an exchange and an ecosystem where participants can either contribute or purchase the components of an AI model. I hope that together we can make a significant contribution to the growth of the deep learning industry and synergy of blockchain community”.
The purpose of Neuromation is to use distributed computing along with blockchain proof of work tokens to revolutionize deep learning model development. Neuromation offers a unique solution that unites market resources, the scientific community, commercial and private entities into an integrated marketplace – the Neuromation Platform. To address the most critical issue, Neuromation focuses on synthetic datasets proven to yield compelling results. Using synthetic datasets in machine learning will further decrease the cost and will facilitate widespread AI adoption.
Maxim Prasolov, CEO of Neuromation.io: “Our strategy is not to develop our platform in isolation but to work with partners in select industries in order to try to bring our vision organically to life. We are developing “Neuromation Labs” that will develop synthetic data and train deep learning models on live applications. We are glad that David Orban and Singularity University appreciated our strategy of using synthetic datasets in machine learning. Furthermore, it will decrease the cost and democratize the deep learning industry. I believe we will have a great cooperation with David since he has a vast amount of experience in advising blockchain startups. Besides our cooperation, together we are planning to develop the blockchain community: we are donating 10% of our ICO to the development of a blockchain community”.
Neuromation will announce the pre-sale of its own Neurotoken on October, 15th.
The project’s white paper: http://neuromation.io/wp-content/themes/Avada/token_sale/Neuromation_v1.0_Sept15th2017.pdf
More about Neuromation: https://neuromation.io/
Headquarters: San Francisco, CA
Year founded: 2016
Video of Neuromation: https://drive.google.com/open?id=0B_IlUuqctT31ZFdJRG84XzdMa1U
Neuromation is a technology platform that creates synthetic learning environments for deep learning of neural networks. These simulations are then used for training better algorithms.
We are building a platform of distributed computing for creating artificial worlds where AI algorithms are trained on simulated sensory input. These synthetic worlds also have a virtually infinite supply of perfectly labeled training data. AI plays, as with video games, in order to learn specific real-world tasks.
Our technology is crucial to making Deep Learning-based systems useful as they are taken up by industry in the real world. With Neuromation, the future has arrived, in which computers teach computers to perceive.
Our strategy is not to develop our platform in isolation, but to work with partners in select industries in order to try to bring our vision organically to life. We are developing “Neuromation Labs” that would develop synthetic data and train deep learning models on live applications. Each lab, such as the Retail Automation Lab, Industrial Automation Lab, Pharma/Medicine/Biotech Lab, will study a specific problem in a partnership with a category leader. As our platform is fleshed out we will be moving parts of generation and training there, allowing us to organically test parts of our vision in real-life scenarios. The Labs will seed the Neuromation Platform market with initial data generators and data sets. We will also encourage our Labs partners to transact further services through the platform, thus building the initial market for these services.
About David Orban:
David is the Managing Partner of Network Society Ventures, a seed stage global venture investment firm. Network Society Ventures seeks to invest in disruptive technology-based companies that are leading the transformation from the post-industrial age to Network Society. David is an expert on blockchain and token coin design, entrepreneur, visionary, guru, author, blogger, keynote speaker, and thought leader of the global technology landscape.
About Singularity University:
An interdisciplinary university whose mission is to assemble, educate and inspire leaders who strive to understand and facilitate the development of exponentially advancing technologies in order to address humanity’s grand challenges.
For the original news story, please visit https://pressreleasejet.com/news/david-orban-singularity-university-joins-neuromation-as-advisor.html.
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