University of California, Santa Barbara

Headlines · 2

1. 5d
   Deep learning personalizes visual-cortex stimulation in early human trial

   Researchers from the University of California, Santa Barbara, ETH Zurich, and Miguel Hernández University used deep learning to personalize electrical stimulation delivered through a temporary 96-electrode array implanted in a participant's visual cortex. According to cnBeta, the optimized patterns more accurately activated targeted neural responses while requiring less current, and recorded brain activity predicted the participant's reported phosphenes better than electrode parameters alone. The paper was published in Neuron on August 7, 2026.

   科技新报 · 🔥 5
2. Oct 31
   CLASHarness Benchmarks Multimodal Agents in Multi-Agent Conflicts

   A research consortium involving Google and six universities released CLASHarness, an open benchmark for testing 15 models when teammate reports conflict with system evidence. According to New Zhiyuan, its 600 executable tasks use high-resolution visual evidence and cover 20 domains; the report says no model exceeded a 30% end-to-end pass rate, with active verification and task handoff remaining major weaknesses. The generation pipeline, evaluation tasks, and an interactive trajectory viewer are available as open-source materials.

   新智元 · 🔥 0

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