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Scientists outline new processes for leveraging hafnia’s ferroelectric features with the aim of enhancing high-performance computing.

Scientists and engineers have been pushing for the past decade to leverage an elusive ferroelectric material called hafnium oxide, or hafnia, to usher in the next generation of computing memory. A team of researchers including the University of Rochester’s Sobhit Singh published a Proceedings of the National Academy of Sciences study outlining progress toward making bulk ferroelectric and antiferroelectric hafnia available for use in a variety of applications.

In a specific crystal phase, hafnia exhibits ferroelectric properties—that is, electric polarization that can be changed in one direction or another by applying an external electric field. This feature can be harnessed in data storage technology. When used in computing, ferroelectric memory has the benefit of non-volatility, meaning it retains its values even when powered off, one of several advantages over most types of memory used today.

Are you curious about the future of Artificial Intelligence (AI) and how it will be impacted by Quantum Computing? Join us on an exciting journey into the world of technology as we explore how Quantum Computing is set to revolutionize AI by the year 2027. In this video, we will delve into the fascinating realm of Quantum Computing and its implications for the future of AI.

Quantum Computing, a cutting-edge field in computer science, harnesses the principles of quantum mechanics to perform computations at speeds unimaginable with traditional computers. By leveraging the power of quantum bits or qubits, Quantum Computing has the potential to exponentially increase processing power, enabling AI systems to tackle complex problems with unprecedented efficiency and accuracy. Imagine a world where AI algorithms can analyze vast amounts of data in seconds, leading to groundbreaking discoveries and innovations across various industries.

Continue reading “Quantum Computing Will Transform AI by 2027” »

Quantum nanophotonics examines the interaction between emitters and light confined at the nanoscale. This Review highlights the experimental progress in the field, explains new light–matter interaction regimes and emphasizes their potential applications in quantum technologies.

The company’s X3D chips will arrive later in the year, right before Intel launches Arrow Lake.

Mark Zuckerberg’s company wants to take the AI fight to tech giants and has the monetary backing to fuel it for years.

Meta is willing to spent an additional $9 billion a year to train AI models that beat Google, Microsoft and integrate into existing products like Instagram.

The mega tech company’s ambition is to operate on carbon-free energy by 2030.

In its most substantial offshore wind project deal to date, Google has signed power purchase agreements (PPAs) for over 700 megawatts of clean energy to power its European data centers.

The company’s announcement is in line with its ambitious goal to achieve net-zero emissions across all of its operations and value chain by 2030, as per Google’s Environmental Report published last year.

Continue reading “Google signs its largest offshore wind projects to power data centres” »

OpenAI notes that information related to bioterrorism is easily accessible to anybody, even without AI, as there is dangerous content in online resources and databases.

Explore OpenAI’s study that reveals how AI could inadvertently assist in creating biological threats.

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The neutron lifetime anomaly has been used to motivate the introduction of new physics with hidden-sector particles coupled to baryon number, and on which neutron stars provide powerful constraints. Although the neutron lifetime anomaly may eventually prove to be of mundane origin, we use it as motivation for a broader review of the ways that baryon number violation, be it real or apparent, and dark sectors can intertwine and how neutron star observables, both present and future, can constrain them.