We do not invest in the future; we create it.
Edge of Chaos
Edge of Chaos
Edge of Chaos is a unique & innovative ecosystem of startups and investors. Our vision is to be at the space where industries evolve and get significantly better. As with every complex system, this evolution can only happen in transition phase, at the edge between order and chaos, the Edge of Chaos. Edge of Chaos ecosystem is creating companies that will lead the vision of better future.
The story of
A 3D sensing company that revolutionized many industries by giving machines the ability to see and understand the world as humans.
PrimeSense Israeli 3D Motion sensing company based in Tel-Aviv was bought by Apple Inc. for $360 million on November 2013. Primesense, was founded by Aviad Maizels also the founder of Edge of Chaos (president and founder) and by, Alexander Shpunt, Dima Rais, Ophir Sharon, Tamir Berliner.
Most of the time, we are oblivious to the earliest symptoms of something that goes wrong inside our body. We could be about to experience something potentially serious, like the flu, cancer, or a heart attack, but our bodies just don't let us know. We don't feel like anything is wrong, so we don't take action. Now, what if there was a way to learn about this bio-markers early, so we could help our bodies deal with the situation? If only we had a dashboard that could show us what’s going on.
We are seeking to lead the energy storage revolution and enable massive, widespread use of renewable energy. We do that By creating an energy cell that will provide low-cost dispatchable power generation with the life-cycle reliability of PHS, yet with the flexible scalability and siting required for ubiquitous deployment across the grid. The technology aims for grid-scale electrical storage that will reflect the energy, cost, and cycle life of <$100/kWh and> 5000 cycles, while also being modular and available for widespread use at any location across the power grid. Moreover, this technology can balance the short-duration variability associated with renewable generation.
The current chasm between today's "Narrow" AI and future ambitions for "General" AI comes down to
a fundamental difference in the way humans and computers learn. "Narrow" AI describes a computer program's competency to complete the specific task or tasks it has been designed to accomplish. In order to make the leap to a "General" AI that can effectively cope outside its comfort zone (for example, a chess program that can learn how to play Go), a program would need to replicate the human capacity for lifelong learning – the ability to continually acquire and refine knowledge over time. While humans can continue to learn new information throughout their entire lives, and retrieve that information from memory without significant loss, artificial neural networks tend to experience catastrophic interference.
Digital technology has allowed us to copy data in an instant, and to transmit troves of data effortlessly over the web. Unfortunately, this technology brings a host of new challenges – how do we know if a sensational news article we are retweeting was written by a journalist in London or a teenager in Moscow? How do you know Can you be sure that your brilliant business plan sent to a consultant won't be shared with a competitor?
When your data is easily copied or transmitted, knowing where the data comes from or controlling who uses it in the future becomes very difficult. We are creating a new scalable platform that is designed to create a content-addressable, peer-to-peer method of storing and sharing hypermedia in a decentralized distributed file system, while retaining user privacy, content control, and copyright permission.
We are interested in creating a device-free world, where users no longer need to lug around an unwieldy laptop, or own a PC at home. Instead, users will lease a computer instance from the cloud, and connect to it remotely. We believe that once the remote user experience becomes indistinguishable from a local one, more and more users will adopt this remote connection method (including third world countries), lowering costs, preserving physical resources, and contributing to a better and connected world.