Toggle light / dark theme

Panera Bread tests artificial intelligence technology in drive-thru lanes

Starting Monday, drive-thru customers at two Panera Bread locations in upstate New York will have their orders taken by a computer in a test of artificial intelligence technology’s accuracy and ability to decrease service times.

The sandwich chain is the latest restaurant company to invest in potential improvements to the drive-thru experience. A surge in drive-thru ordering during the Covid pandemic led to long lines of cars wrapped around restaurants, pushing chains to focus on speed of service and order accuracy.

For example, McDonald’s has also been working to automate its drive-thru lane, announcing a partnership last year with IBM to work toward that goal. Yum Brands’ Taco Bell and Restaurant Brands International’s Burger King have been building double drive-thru lanes at some locations to allow customers to pick up their digital orders more quickly. Fast-casual chains like Shake Shack and Sweetgreen that once balked at drive-thru lanes have been adding them.

Chaotic circuit exhibits unprecedented equilibrium properties

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 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 .” 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.

3D-printed, laser-cooked meat may be the future of cooking

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.


A recent study suggests that future kitchen appliances could make it possible to 3D-print entirely new recipes and cook them with lasers.

Intel Labs Introduces New Approach to Neural Network-Based Object Learning

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.

Max Tegmark lecture on Life 3.0 — Being Human in the age of Artificial Intelligence

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.

The World in 2040: Top 20 Future Technologies

This video covers the world in 2040 and its future technologies. Watch this next video about the world in 2050: https://bit.ly/3J23hbQ
► Support This Channel: https://www.patreon.com/futurebusinesstech.
► Udacity: Up To 75% Off All Courses (Biggest Discount Ever): https://bit.ly/3j9pIRZ
► Brilliant: Learn Science And Math Interactively (20% Off): https://bit.ly/3HAznLL
► Jasper AI: Write 5x Faster With Artificial Intelligence: https://bit.ly/3MIPSYp.

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.

Patreon Page: https://www.patreon.com/futurebusinesstech.
Official Discord Server: https://discord.gg/R8cYEWpCzK

💡 On this channel, I explain the following concepts:
• Future and emerging technologies.
• Future and emerging trends related to technology.
• The connection between Science Fiction concepts and reality.

SUBSCRIBE: https://bit.ly/3geLDGO

Disclaimer: