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When exploring their surroundings, communicating with others and expressing themselves, humans can perform a wide range of body motions. The ability to realistically replicate these motions, applying them to human and humanoid characters, could be highly valuable for the development of video games and the creation of animations, content that can be viewed using virtual reality (VR) headsets and training videos for professionals.

Researchers at Peking University’s Institute for Artificial Intelligence (AI) and the State Key Laboratory of General AI recently introduced new models that could simplify the generation of realistic motions for human characters or avatars. The work is published on the arXiv preprint server.

Their proposed approach for the generation of human motions, outlined in a paper presented at CVPR 2025, relies on a data augmentation technique called MotionCutMix and a diffusion model called MotionReFit.

A combined team of metallurgists, materials scientists and engineers from the Chinese Academy of Sciences, Shandong University and the Georgia Institute of Technology has developed a way to make stainless steel more resistant to metal fatigue. In their study published in the journal Science, the group developed a new twisting technique that functions as an “anti-crash wall” in the steel, giving it much more strength and resistance to cyclic creep.

Metal can experience when bent many times, leading to breaking. When this occurs in critical applications, it can result in catastrophic accidents such as bridge failures. Because of that, scientists have for many years been working to reduce or prevent stress levels in metals. In this new effort, the researchers found a way to dramatically improve the strength of a type of stainless steel while also boosting its resistance to what is known as cycle creep, where fatigue occurs due to ratcheting, a form of repeated bending.

The new technique involved repeatedly twisting a sample of 304 austenitic stainless steel in a machine in certain ways. This led to spatially grading the cells that made up the metal, resulting in the build-up of what the team describes as a submicron-scale, three-dimensional, anti-crash wall. Under a microscope, the researchers found an ultra-fine, sub-10 nanometer, coherent lamellar structure that slowed dislocation by preventing stacking faults.

Here in this video today we will explore something that has been demanded by viewers of the channel for quite sometime, the Xeelee rings, one of the largest megastructures in fiction. We first have to take a look at the universe we are discussing about. So, The Xeelee Sequence is a series of science fiction novels and short stories by British author Stephen Baxter, exploring the grand scale of the universe from the Big Bang to its ultimate end. The series follows humanity’s evolution over billions of years, its conflicts with alien species, and the mysterious, hyper-advanced Xeelee, who are engaged in a cosmic war against the enigmatic dark matter entities known as the Photino Birds. The books blend hard science fiction with cosmic wonder, delving into themes of time travel, black hole physics, alternate universes, and the limits of human potential. Major works in the series include \.

To grow, cancer tumors must hijack the immune system for their needs. One of the main tricks that most tumors use is to manipulate a type of immune cell called a macrophage, causing it to protect the tumor from the rest of the immune system, recruit blood vessels and help the cancer spread to other tissues.

Now researchers in Prof. Ido Amit’s lab at the Weizmann Institute of Science have used state-of-the-art gene editing and single-cell and AI technologies to identify a master switch that turns macrophages into cancer helpers.

Based on this discovery, the team developed a new therapy that was shown to be effective in mice with bladder tumors, one of the most common types of cancer in humans and one for which only limited therapeutic innovations are currently available. The discovery is presented in a paper published in the journal Cancer Cell.

A revolutionary blueprint is emerging from a fragment of brain tissue, promising new insights into the mysteries of the human mind. At the heart of this innovation is NEURD—short for “NEURal Decomposition”—a groundbreaking software package developed by researchers at Baylor College of Medicine.

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With NEURD, the time-consuming process of mapping the intricate “street map” of brain connections is being transformed, enabling faster error detection and data corrections that pave the way for discovery.