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Mathematical derivations have unveiled a chaotic, memristor-based circuit in which different oscillating phases can co-exist along six possible lines.

Unlike ordinary electronic circuits, chaotic circuits can produce oscillating electrical signals that never repeat over time—but nonetheless, display underlying mathematical patterns. To expand the potential applications of these circuits, previous studies have designed systems in which multiple oscillating phases can co-exist along mathematically-defined “lines of equilibrium.” In new research published in The European Physical Journal Special Topics, a team led by Janarthanan Ramadoss at the Chennai Institute of Technology, India, designed a chaotic circuit with six distinct lines of equilibrium—more than have ever been demonstrated previously.

Chaotic systems are now widely studied across a broad range of fields: from biology and chemistry, to engineering and economics. If the team’s circuit is realized experimentally, it could provide researchers with unprecedented opportunities to study these systems experimentally. More practically, their design could be used for applications including robotic motion control, secure password generation, and new developments in the Internet of Things—through which networks of everyday objects can gather and share data.

I want to thank Alex Sludds for his efforts in helping me research and produce his video. Check out his work here: https://alexsludds.github.io.

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The promise of robotic furniture is that it can turn single rooms into multipurpose spaces.

“Robotics, AI, and many things will disrupt what we know now. Taking advantage of such has great benefits, especially if focused on demand”-me.

A future kitchen appliance could make it possible to 3D-print entirely new recipes and cook them with lasers.

That is the long-term vision at Columbia University’s Creative Machines Lab, an engineering group that uses insight from biology to research and develop autonomous systems that “create and are creative.” The engineers have spent years working to digitize and automate the cooking process.

Continue reading “3D-printed, laser-cooked meat may be the future of cooking” »

A combination of cutting-edge hardware, sensor technology, and bespoke machine learning approaches can predict trajectories of vehicles, people, and even animals, as far as 8 seconds into the future.

Researchers at Intel Labs, in collaboration with the Italian Institute of Technology and the Technical University of Munich, have introduced a new approach to neural network-based object learning. The new approach specifically targets future robotics applications like robotic assistants that interact with unconstrained environments, which are present in situations such as logistics and healthcare.

The new research can prove crucial for improving the service or manufacturing capabilities of our future robots.

The research paper titled “Interactive continual learning for robots: a neuromorphic approach” was awarded “Best Paper” at the 2022 International Conference on Neuromorphic Systems (ICONS) hosted by Oak Ridge National Laboratory.

On November 15, 2018, BCG GAMMA and Brahe Education Foundation hosted a lecture with Max Tegmark who spoke of Life 3.0 and the future of Artificial Intelligence including both its possibilities and also risks. What kind of future do we want to live in and how can we steer AI towards it? Max Tegmark is a Professor of Physics at MIT, co-founder of the Future of Life Institute, and Scientific Director of the Foundational Questions Institute.

This video covers the world in 2040 and its future technologies. Watch this next video about the world in 2050: https://bit.ly/3J23hbQ
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SOURCES:
• https://www.futuretimeline.net.
• AI 2041: 10 Visions of Our Future (Kai-Fu Lee & Chen Qiufan): https://amzn.to/3bxWat6
• http://projects.eng.uci.edu/projects/2018-2019/methane-hydrate-combustion.
• https://www.einsteintelescope.nl/en.
• https://www.scientificamerican.com/article/physicists-now-wa…-collider/
• https://www.bbc.com/news/business-53598874
• https://www.wsj.com/articles/self-driving-cars-could-be-deca…1622865615
• https://www.youtube.com/c/nextmindlab.

Continue reading “The World in 2040: Top 20 Future Technologies” »

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Future lunar missions will be able to find acceptable spots thanks to the knowledge they have gained about the region’s physical properties.