Collaborating Authors


Neuroseed - Decentralized Marketplace for AI Solutions


The Fourth Industrial revolution brings the implementation of such technologies like Big Data, Internet of Things, Virtual Reality, Augmented Reality, Machine Learning and Artificial Intelligence. Current market requirements are changing rapidly and use of machine learning algorithms based solutions can significantly increase business competitive advantages in the context of globalization. Back in 1995 an idea of creating a platform that could provide a reliability of data sources andtrained neural networks has been declared. Platform implementation would lead to the rapid development of the whole stack of machine learning based technologies and help to reduce the cost of its development, mass adoption and significant growth of derived systems efficiency. The concept of rationality of several machine learning models merging with their further transfer learning has been proposed and proved later. The common limiting factor of development and implementation of similar systems was the lack of reliable technology that could provide a decentralised digital trustworthiness for final machine learning models and data sources.

AI Startup Embodied Intelligence Wants Robots to Learn From Humans in Virtual Reality

IEEE Spectrum Robotics

We are building technology that enables existing robot hardware to handle a much wider range of tasks where existing solutions break down, for example, bin picking of complex shapes, kitting, assembly, depalletizing of irregular stacks, and manipulation of deformable objects such as wires, cables, fabrics, linens, fluid-bags, and food. To equip existing robots with these skills, our software builds on the latest advances in deep reinforcement learning, deep imitation learning, and few-shot learning, to all of which the founding team has made significant contributions.

Elon Musk's $1 billion AI startup has developed a system that trains robots in VR


OpenAI, the artificial intelligence research company set up by Elon Musk, has come up with a new method for teaching robots -- giving them a demo in virtual reality. The non-profit, which is funded to the tune of $1 billion, trained a self-learning algorithm to complete a task after a human demonstrated it once in virtual reality. In this case, the task was stacking coloured blocks. The team got a programmed robot to reproduce the behaviour shown during the demonstration in the virtual environment. "We've developed and deployed a new algorithm, one-shot imitation learning, allowing a human to communicate how to do a new task by performing it in VR," OpenAI wrote in a blog post on Tuesday.