University of Bristol

Headlines · 2

1. 3d
   Human brain organoids classify Braille letters in study

   Researchers at the University of Bristol reported in Frontiers in Artificial Intelligence that human brain organoids, living neural tissue grown from stem cells, could classify Braille letters from electrical signals. A single organoid of about 10,000 neurons reached roughly 61 percent accuracy, while an ensemble of three organoids reached 83 percent. Lead researcher Tianyi Liu stressed the experiment was open-loop, with the organoids receiving only initial inputs and no feedback, so it does not show they learned Braille or were permanently altered, only that they could classify letters after stimulation.

   404 Media · 🔥 0
2. 6d
   Oxford, Monash, Bristol teams unveil Oneira, an interactive video world model

   Teams from the University of Oxford, Monash University and the University of Bristol (among others) propose Oneira, an interactive video world model that separates "what happens in the world" from "how the picture is rendered": a Coding Agent maintains a World State Table recording each object's semantic label, 3D bounding box and interaction state, an Engine renders that table into a simplified condition video, and a video generation model fills in real appearance and motion detail. The authors also built InteractionBench, with 100 interaction cases and 50 memory cases, and compared Oneira against MiniMax-H3 Ref2VA, LingBot-World-V2, YUME 1.5 and AlayaWorld. They report Oneira leads the strongest baseline by 29, 19 and 29 percentage points on whether an interaction occurs, timing accuracy and correct target object; after the camera leaves and returns, PSNR and SSIM improve by 93% and 83% and state retention rises 18%, with VBench video quality at or near the best.

   机器之心 · 🔥 0

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