Lifeboat Foundation

True to form, a “strange metal” quantum material proved strangely quiet in recent quantum noise experiments at Rice University. Published this week in Science, the measurements of quantum charge fluctuations known as “shot noise” provide the first direct evidence that electricity seems to flow through strange metals in an unusual liquidlike form that cannot be readily explained in terms of quantized packets of charge known as quasiparticles.

“The noise is greatly suppressed compared to ordinary wires,” said Rice’s Doug Natelson, the study’s corresponding author. “Maybe this is evidence that quasiparticles are not well-defined things or that they’re just not there and charge moves in more complicated ways. We have to find the right vocabulary to talk about how charge can move collectively.”

The experiments were performed on nanoscale wires of a well-studied quantum critical material with a precise 1−2−2 ratio of ytterbium, rhodium and silicon (YbRh₂Si₂). The material contains a high degree of quantum entanglement that produces temperature-dependent behavior.

In a recent study published in Nature Communications, researchers aimed to develop a model of rumination, a mental process characterized by persistent negative self-reflective thoughts that can lead to depression and anxiety. Using resting-state functional magnetic resonance imaging (rsfMRI) — a technique that captures brain activity when a person is at rest — they identified a specific region of the brain, the dorsal medial prefrontal cortex (dmPFC), as playing a pivotal role in these ruminative thoughts.

Recognizing that rumination can be an early risk factor for depression, the researchers aimed to develop methods for subclinical detection and intervention before clinical episodes of depression occur. Early detection and intervention can be crucial for preventing the development of more severe mental health conditions.

The default mode network (DMN), a large-scale resting-state network, had been consistently linked to rumination in previous research. But the precise brain regions responsible for variations in individual levels of rumination have remained elusive. The researchers wanted to investigate the specific role of the DMN and its subsystems in rumination, as it is involved in various processes related to self-referential thought, autobiographical memory, emotional experience, and more.

The 100MW/200MWh Chinchilla battery in Queensland, Australia, has been registered and connected to the grid. Expectations are high that the massive battery farm’s commissioning will begin soon.

The Chinchilla battery features 80 Tesla Megapack batteries. It is also the first battery farm that will be built by state-owned generator CS Energy, as noted in a Renew Economy report. The facility was committed as part of the state’s response to an explosion at the Callide coal-fired generator — an incident that helped convince the state to accelerate its adoption of sustainable solutions.

The 80 Tesla Megapack batteries are situated next to the Kogan Creek coal-fired generator, which also happens to be owned by CS Energy. The 750MW Kogan Creek coal-fired generator is among the largest coal-fired facilities in Australia. As per local reports, CS Energy is looking to develop a clean energy hub around Kogan Creek, so the Tesla Megapack farm could be considered part of the state-owned generator’s initiatives in the area.

Ex-OpenAI CEO Sam Altman wrote in 2019 that “almost too much self-belief” was a key to success. That presents problems, says a UC Berkeley leadership expert.

Aiming to create a city district that provides access to nature and a diversity of spaces, Heatherwick Studio designed Azabudai Hills to contain residential buildings, retail and restaurant spaces, a school, two temples, art galleries, offices and 24,000 square metres of public green space.

The 81,000-square-metre-development was informed by timber pergola structures with a gridded roof structure that extends like hilltops to create curving forms extending to ground level.

Heatherwick Studio added trees, flowers and meandering routes between the building and on the sloping roofs, aiming to create spaces that invite exploration and encourage social gatherings.

Architecture firm Jones Studio has designed an educational centre in Arizona with the aim of raising awareness about water resources and infrastructure in the region.

The Water Education Center will form part of a Central Arizona Project (CAP) facility north of Phoenix and highlight the “contested topic of water in the west”, according to Jones Studio principal Brian Farling.

Prospective designs show a sloping weathering-steel canopy supported by stone-clad buildings on each side of the 336-mile-long (541 kilometers) canal that brings water from the Colorado River to central Arizona.

A stuttering economy, rampant inflation and a handful of mass layoffs later, it seems the tables may be turning.

According to Professor Jeremy Siegel, emeritus professor of finance at the Wharton School of the University of Pennsylvania, staff looking over their shoulders at laid off peers may have actually proved useful to the economy.

Vietnamese billionaire Pham Nhat Vuong wants to make VinFast Auto into a viable global electric vehicle brand. But its journey so far has been bumpy.

Why it matters: While AI algorithms are seemingly everywhere, processing on the most popular platforms require powerful server GPUs to provide customers with their generative services. Arm is introducing a new dedicated chip design, set to provide AI acceleration even in the most affordable IoT devices starting next year.

The Arm Cortex-M52 is the smallest and most cost-efficient processor designed for AI acceleration applications, according to the company. This latest design from the UK-based fabless firm promises to deliver “enhanced” AI capabilities to Internet of Things (IoT) devices, as Arm states, without the need for a separate computing unit.

Paul Williamson, Arm’s SVP and general manager for the company’s IoT business, emphasized the need to bring machine learning optimized processing to “even the smallest and lowest-power” endpoint devices to fully realize the potential of AI in IoT. Despite AI’s ubiquity, Williamson noted, harnessing the “intelligence” from the vast amounts of data flowing through digital devices requires IoT appliances that are smarter and more capable.