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The expansion of the universe has been a well-established fact of physics for almost a century. By the turn of the millennium the rate of this expansion, referred to as the Hubble constant (H 0), had converged to a value of around 70 km s –1 Mpc –1. However, more recent measurements have given rise to a tension: whereas those derived from the cosmic microwave background (CMB) cluster around a value of 67 km s –1 Mpc –1, direct measurements using a local distance-ladder (such as those based on Cepheids) mostly prefer larger values around 73 km s –1 Mpc –1. This disagreement between early-and late-universe measurements, respectively, stands at the 4–5 σ level, thereby calling for novel measurements.

One such source of new information are large galaxy surveys, such as the one currently being performed by the Dark Energy Spectroscopic Instrument (DESI). This Arizona-based instrument uses 5,000 individual robots that optimise the focal plane of the detector to allow it to measure 5,000 galaxies at the same time. The goal of the survey is to provide a detailed 3D map, which can be used to study the evolution of the universe by focussing on the distance between galaxies. During its first year of observation, the results of which have now been released, DESI has provided a catalogue of millions of objects.

Small fluctuations in the density of the early universe resulted not only in signatures in the CMB, as measured for example by the Planck probe, but also left imprints in the distribution of baryonic matter. Each over-dense region is thought to contain dark matter, baryonic matter and photons. The gravitational force from dark matter on the baryons is countered by radiation pressure from the photons. From the small over-densities, baryons are dragged along by photon pressure until these two types of particles decoupled during the recombination era. The original location of the over-density is surrounded by a sphere of baryonic matter, which typically is at a distance referred to as the sound horizon. The sound horizon at the moment of decoupling, denoted r d, leaves an imprint that has since evolved to produce the density fluctuations in the universe that seeded large-scale structures.

Hydrogen storage, heat conduction, gas storage, CO2 and water sequestration—metal-organic frameworks (MOFs) have extraordinary properties due to their unique structure in the form of microporous crystals, which have a very large surface area despite their small size. This makes them extremely interesting for research and practical applications. However, MOFs are very complex systems that have so far required a great deal of time and computing power to simulate accurately.

Basically confirmed whats been said here. AI will take over film making by 2029/2030.


Actor and entrepreneur Ashton Kutcher lauded OpenAI’s generative AI video tool Sora at a recent event. “I’ve been playing around with Sora, this latest thing that OpenAI launched that generates video,” Kutcher said. “I have a beta version of it, and it’s pretty amazing. Like, it’s pretty good.”

He explained that users specify the shot, scene, or trailer they desire. “It invents that thing. You haven’t shot any footage, the people in it don’t exist,” he said.

Chinese state-owned automaker Dongfeng Motor is partnering with robotics firm UBTech to introduce the latter’s humanoid into its manufacturing process.

The industrial version of the Walker S humanoid robot from Ubtech will be used on the production line of Dongfeng Motor to carry out various manufacturing duties.

According to reports, it will involve conducting safety belt inspection, door lock testing, body quality checks, oil filling, and label application. The robot will integrate with traditional automated machinery to handle complex scenarios in unmanned manufacturing.

Advanced Micro Devices (AMD) has introduced its newest artificial intelligence (AI) processor, the MI325X. This advanced version of the MI300 series is expected to be available in the fourth quarter.

At the Computex technology trade show in Taipei, AMD also announced that it will develop AI chips over the next two years to challenge Nvidia’s dominance.

It should be noted that Nvidia has an almost 80% share in the market of AI semiconductors.