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Category: robotics/AI – Page 112

Dynamic model can generate realistic human motions and edit existing ones

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.

Master switch gene can turn immune cells into cancer eradicators

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.

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The Most Detailed Map of the Human Cell Ever Made — Powered by AI and Imaging

For the first time, scientists have built a detailed, interactive map of a human cell, revealing how thousands of proteins organize and work together.

Using advanced imaging and AI tools like GPT-4, they uncovered hundreds of previously unknown protein functions and identified key cellular assemblies tied to childhood cancers. This map not only changes how we study cell biology but could also transform our understanding of disease at the molecular level.

Mapping the Human Cell: A 400-Year Quest.

Stanford Scientists Create “Digital Twin” of the Brain Using AI

Just as pilots use flight simulators to safely practice complex maneuvers, scientists may soon conduct experiments on a highly realistic simulation of the mouse brain. In a new study, researchers at Stanford Medicine and their collaborators developed an artificial intelligence.

Artificial Intelligence (AI) is a branch of computer science focused on creating systems that can perform tasks typically requiring human intelligence. These tasks include understanding natural language, recognizing patterns, solving problems, and learning from experience. AI technologies use algorithms and massive amounts of data to train models that can make decisions, automate processes, and improve over time through machine learning. The applications of AI are diverse, impacting fields such as healthcare, finance, automotive, and entertainment, fundamentally changing the way we interact with technology.