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Welcome To 2032: A Merged Physical/Digital World

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We are approaching 2022 and rather than ponder the immediate future, I want to explore what may beckon in the ecosystem of disruptive technologies a decade from now. We are in the initial stages of an era of rapid and technological change that will witness regeneration of body parts, new cures for diseases, augmented reality, artificial intelligence, human/computer interface, autonomous vehicles, advanced robotics, flying cars, quantum computing, and connected smart cities. Exciting times may be ahead. By 2032, it will be logical to assume that the world will be amid a digital and physical transformation beyond our expectations. It is no exaggeration to say we are on the cusp of scientific and technological advancements that will change how we live and interact. What should we expect in the coming decade as we begin 2022? While there are many potential paradigms changing technological influences that will impact the future, let us explore three specific categories of future transformation: cognitive computing, health and medicine, and autonomous everything.


Quantum Computing Expanded In 2021, Setting Up A Big 2022

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Quantum computing has experienced unprecedented growth and interest over the last two years due in large part to companies like Honeywell, IBM, Google, and Intel. We've also seen new up and coming players like IonQ and Rigetti step into the foray to advance the technology. And while the field is still rapidly evolving, there has been some major advancements as companies have tapped into the power of quantum computing to help with research and development in the pharmaceutical and chemical industries, mitigate risk in the finance industry, and aid in cybersecurity across a multitude of industries. But I don't think the growth will stop there. In my Digital Transformation Trends predictions for 2021, I proposed that Quantum would go mainstream, and while it missed the 2022 list, I do think the momentum will continue for Quantum this year.


LG Electronics joins IBM Quantum Network to research AI, IoT, and more

ZDNet

IBM announced Monday that LG Electronics is joining the Quantum Network. The two companies will work to explore how quantum computing can be used for a variety of applications, ranging from IoT and data to AI and robotics. The three-year deal will give LG Electronics access to IBM's quantum computing systems, experts, and their "Qiskit" open-source quantum information software development kit. It would be the harbinger of an entirely new medium of calculation, harnessing the powers of subatomic particles to obliterate the barriers of time in solving incalculable problems. "Based on our open innovation strategy, we plan to use IBM Quantum to develop our competency in quantum computing," said Byoung-Hoon Kim, CTO and executive vice president of LG Electronics.


DIGITAL EYE: Quantum computing - What you need to know

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Welcome to your new weekly Briefing from The Digital Eye. This has been compiled for busy professionals who have limited time but want to stay up to date with the latest digital news. We hope you have found these articles informative. Would you please share with others who might also be interested? "Virtually every function that enters the digital ecosphere will be empowered by AI before long."


2022 Technology Predictions for AI in the Enterprise

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The global use and further development of AI continued to grow in 2021 as enterprises found more ways to deploy it and developers discovered new ways to capture its possibilities for business users. So, what might 2022 bring for AI and a wide range of related IT fields from MLOps to security, cloud and edge computing, open source, the metaverse and more? To answer that question, we received a wide range of predictions from IT industry experts who shared their thoughts with EnterpriseAI. We are publishing them here, edited for clarity and brevity, to give our readers an early look at what may come in 2022 in enterprise AI and related technologies. Rodrigo Liang, the CEO and co-founder of AI platform vendor SambaNova Systems, said he sees companies moving away from DIY AI and linking up with vendors who can help them better reach their business goals.


Creating the Heart of a Quantum Computer: Developing Qubits

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A computer is suspended from the ceiling. Delicate lines and loops of silvery wires and tubes connect gold-colored platforms. It seems to belong in a science-fiction movie, perhaps a steam-punk cousin of HAL in 2001: A Space Odyssey. But as the makers of that 1968 movie imagined computers the size of a spaceship, this technology would have never crossed their minds – a quantum computer. Quantum computers have the potential to solve problems that conventional computers can't.


TNW's best quantum computing and physics stories from 2021

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Tristan covers human-centric artificial intelligence advances, quantum computing, STEM, Spiderman, physics, and space stuff. Pronouns: He/hi (show all) Tristan covers human-centric artificial intelligence advances, quantum computing, STEM, Spiderman, physics, and space stuff. That's not to say useful quantum computers have actually arrived yet. This is because physics is an incredibly complex and challenging field of study. And the difficulty gets cranked up exponentially when you start adding "theoretical" and "quantum" to the research.


Quantum Computing and AI

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"The tantalizing promise of quantum computers is that certain computational tasks might be executed exponentially faster on a quantum processor than on a classical processor. A fundamental challenge is to build a high-fidelity processor capable of running quantum algorithms in an exponentially large computational space. Here, we report using a processor with programmable superconducting qubits to create quantum states on 53 qubits, occupying a state space 253 1016. Measurements from repeated experiments sample the corresponding probability distribution, which we verify using classical simulations. While our processor takes about 200 seconds to sample one instance of the quantum circuit 1 million times, a state-of-the-art supercomputer would require approximately 10,000 years to perform the equivalent task. This dramatic speedup relative to all known classical algorithms provides an experimental realization of quantum supremacy on a computational task and heralds the advent of a much-anticipated computing paradigm." It is fascinating to consider what will happen next in the intersection of quantum information and artificial intelligence. It is also hard to tell where it will lead, perhaps a new computing paradigm?


Quantum AI: How Will It Impact The Future Of Digital Marketing

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AI has been around in digital marketing for a long time, but there are some pretty significant limitations-such as the need to be trained by humans. This is where Quantum AI comes in to help out! It can learn on its own, without any human input whatsoever. And it can even come up with new ideas on its own. In the article, I will explain how Quantum AI is making its way into the world of digital marketing, why it's happening now, and what this means for companies.