Gorgan Mohammadi, A., Ganjtabesh, M. Sci Rep 14, 1945 (2024). https://doi.org/10.1038/s41598-024-52299-7

Gorgan Mohammadi, A., Ganjtabesh, M. Sci Rep 14, 1945 (2024). https://doi.org/10.1038/s41598-024-52299-7
Already, the graphene efforts have offered “a breath of fresh air” to the community, Alicea says. “It’s one of the most promising avenues that I’ve seen in a while.” Since leaving Microsoft, Zaletel has shifted his focus to graphene. “It’s clear that this is just where you should do it now,” he says.
But not everyone believes they will have enough control over the free-moving quasiparticles in the graphene system to scale up to an array of qubits—or that they can create big enough gaps to keep out intruders. Manipulating the quarter-charge quasiparticles in graphene is much more complicated than moving the Majoranas at the ends of nanowires, Kouwenhoven says. “It’s super interesting for physics, but for a quantum computer I don’t see it.”
Just across the parking lot from Station Q’s new office, a third kind of Majorana hunt is underway. In an unassuming black building branded Google AI Quantum, past the company rock-climbing wall and surfboard rack, a dozen or so proto–quantum computers dangle from workstations, hidden inside their chandelier-like cooling systems. Their chips contain arrays of dozens of qubits based on a more conventional technology: tiny loops of superconducting wires through which current oscillates between two electrical states. These qubits, like other standard approaches, are beset with errors, but Google researchers are hoping they can marry the Majorana’s innate error protection to their quantum chip.
Lars Holmquist, a professor of design and innovation at Nottingham Trent University, said psychologists have historically proven that humans interpret interactions with computers like real social relationships.
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From January 2019, Scott Pelley’s interview with “the oracle of AI,” Kai-Fu Lee. From this past April, Pelley’s report on Google’s AI efforts. And from this past March, Lesley Stahl’s story on chatbots like ChatGPT and a world of unknowns. #news #artificialintelligence #technology “60 Minutes” is the most successful television broadcast in history. Offering hard-hitting investigative reports, interviews, feature segments and profiles of people in the news, the broadcast began in 1968 and is still a hit, over 50 seasons later, regularly making Nielsen’s Top 10. Subscribe to the “60 Minutes” YouTube channel: http://bit.ly/1S7CLRu Watch full episodes: http://cbsn.ws/1Qkjo1F Get more “60 Minutes” from “60 Minutes: Overtime”: http://cbsn.ws/1KG3sdr Follow “60 Minutes” on Instagram: http://bit.ly/23Xv8Ry Like “60 Minutes” on Facebook: http://on.fb.me/1Xb1Dao Follow “60 Minutes” on Twitter: http://bit.ly/1KxUsqX Subscribe to our newsletter: http://cbsn.ws/1RqHw7T Download the CBS News app: http://cbsn.ws/1Xb1WC8 Try Paramount+ free: https://bit.ly/2OiW1kZ For video licensing inquiries, contact: [email protected] 0:00 Introduction 0:11 The Oracle of AI 12:56 The Revolution (Part 1) 27:33 The Revolution (Part 2) 40:00 Who is minding the chatbots?
Untethered micro/nanorobots that can wirelessly control their motion and deformation state have gained enormous interest in remote sensing applications due to their unique motion characteristics in various media and diverse functionalities. Researchers are developing micro/nanorobots as innovative tools to improve sensing performance and miniaturize sensing systems, enabling in situ detection of substances that traditional sensing methods struggle to achieve. Over the past decade of development, significant research progress has been made in designing sensing strategies based on micro/nanorobots, employing various coordinated control and sensing approaches. This review summarizes the latest developments on micro/nanorobots for remote sensing applications by utilizing the self-generated signals of the robots, robot behavior, microrobotic manipulation, and robot-environment interactions.
Five-second clips generated with Lumiere show how the AI tools can create video from a prompt with realistic motion.
Lumiere can edit videos or create whole new ones from a prompt.
In a 1938 article, MIT’s president argued that technical progress didn’t mean fewer jobs. He’s still right.