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A Bose-Einstein condensate of cold atoms occupying a periodic lattice can flow like a superfluid. But if the atoms’ mutual repulsion is strengthened and the lattice potential deepened, the atoms can become immobilized in a state known as a Mott insulator. Now Hepeng Yao of the University of Geneva and his collaborators have examined the Mott transition of cold atoms trapped in a lattice that is quasiperiodic rather than periodic [1]. Given that quasiperiodicity and other kinds of disorder tend to trap particles, the researchers were surprised to discover that their quasiperiodic lattice sustained the superfluid state rather than weakening it.

Yao and his collaborators trapped potassium-39 atoms in a one-dimensional optical lattice formed by the standing waves of two lasers. If the ratio of the lasers’ wavelengths was a rational number, the lattice was periodic. Otherwise, the lattice was quasiperiodic. By adjusting various experimental parameters, they could control the depth of the confining potentials, the strength of the interatomic repulsion, and whether the lattice sites were fully occupied. To determine whether a given set of parameters yielded a static, insulating state or a mobile, superfluid one, they turned off the trap and observed how the atoms flew apart.

The team found that the Mott transitions for the periodic and quasiperiodic lattices were both characterized by a critical value of the interparticle repulsion, but the critical value in the quasiperiodic case was higher. Quantum Monte Carlo simulations pointed to the reason. The commensurability between the lattice period and the particle number is a key factor in pinning particles in a Mott insulator. However, the quasiperiodic lattice blurs this commensurate period, thereby destabilizing the Mott phase to the profit of the superfluid one.

Google is testing a new API that uses machine learning models to offer real-time language translation for inputted text and to make it easier to translate web pages.

According to a proposal spotted by Bleeping Computer, the feature is being developed by Chrome’s built-in AI team and is aimed at exposing the web browser’s built-in translation functionality and the ability to download additional language models to translate text.

While Chrome and Edge already have built-in translation features, they can sometimes have issues translating web pages that have dynamic or complex content. For example, Chrome may not be able to translate all sections of an interactive website correctly.

A massive infostealer malware operation encompassing thirty campaigns targeting a broad spectrum of demographics and system platforms has been uncovered, attributed to a cybercriminal group named “Marko Polo.”

The threat actors use a variety of distribution channels, including malvertising, spearphishing, and brand impersonation in online gaming, cryptocurrency, and software, to spread 50 malware payloads, including AMOS, Stealc, and Rhadamanthys.

According to Recorded Future’s Insikt Group, which has been tracking the Marko Polo operation, the malware campaign has impacted thousands, with potential financial losses in the millions.

Dell has confirmed to BleepingComputer that they are investigating recent claims that it suffered a data breach after a threat actor leaked the data for over 10,000 employees.

The allegations were published yesterday by a threat actor named “grep,” who alleges that the computing vendor suffered a “minor data breach” in September 2024, exposing internal employee and partner information.

In a post to a hacking forum, the threat actor says the stolen data includes employees’ unique identifiers, full names of employees for Dell and partners, status of employees (active or not), and an internal identification string.