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brain mapping

12 articles about brain mapping in AI news

JUPITER Exascale Maps Brain at Cellular Scale on 4,096 Grace Hopper Nodes

JUPITER, Europe's first exascale supercomputer, trained CytoNet brain model on 6.5 PB in 5 days and runs climate, 6G, and quantum simulations.

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Sabicap Develops Brain Wearable to Decode Imagined Speech into Text

Sabicap is developing a brain wearable with tens of thousands of sensors to decode imagined speech into text. The company, backed by Vinod Khosla, aims to create a system that works across users with minimal calibration for broad adoption.

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Meta's TRIBE v2 Predicts Brain Activity from fMRI Data, Surpassing Real Scan Accuracy

Meta released TRIBE v2, a foundation model trained on 500+ hours of fMRI data from 700+ people. It predicts a new person's brain responses to sensory input without retraining, reportedly exceeding the accuracy of a real brain scan.

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Digital Fruit Fly Brain Achieves First Full Perception-Action Loop in Simulation

Startup Eon Systems has demonstrated what appears to be the first complete whole-brain emulation controlling a simulated body. Their digital model of a fruit fly brain, with 125,000 neurons and 50 million synapses, successfully drives realistic behaviors in a physics-simulated fly body.

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Google Maps Gets an AI Brain: How Gemini Transforms Navigation from Directions to Dialogue

Google is fundamentally reshaping Maps by integrating its Gemini AI, launching 'Ask Maps' for conversational discovery and 'Immersive Navigation' for a complete visual and data-driven route overhaul. This represents a shift from static maps to intelligent, proactive travel assistants.

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When AI Gets Stumped: Study Reveals Language Models' 'Brain Activity' Collapses Under Pressure

New research shows that when large language models encounter difficult questions, their internal representations dramatically shrink and simplify. This 'activity collapse' reveals fundamental limitations in how current AI processes complex reasoning tasks.

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The 2026 CLAUDE.md Playbook: 8 Rules That Make Your Agent 2x More Effective

The 2026 consensus on CLAUDE.md: shorter files, falsifiable rules, and explicit enforcement. Here's the 8-rule framework to stop your agent from fighting stale configs.

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The Developer's Guide to Finetuning LLMs

A developer-focused article outlines decision frameworks for LLM finetuning—covering when it's worth the cost, how to approach it, and key trade-offs. For retail leaders, this is a practical primer on customizing models for brand-specific tasks.

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Cline Launches Kanban Platform for Visualizing and Managing Multi-Agent AI Workflows

Cline has launched Cline Kanban, a visual platform for developers to manage and orchestrate multi-agent AI workflows. It aims to address the complexity of coordinating multiple specialized AI agents on a single task.

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How to Use Claude Code's 'Grad Student' Research Mode for Complex Problem-Solving

Claude Code's advanced reasoning can now tackle complex research tasks like a grad student. Here's how to prompt it for 'vibe physics' and deep technical analysis.

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The Great Unbundling: How AI Is Decoupling Human Attention from Digital Execution

The current AI revolution represents a fundamental architectural shift from deterministic software systems requiring constant human oversight to probabilistic reasoning engines that autonomously execute tasks. This transition transforms developers from code writers to boundary condition designers, with profound implications for workflow automation and software development.

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Frozen Giants Aligned: New AI Method Bridges Vision and Language Without Training

Researchers have developed HDFLIM, a novel framework that aligns powerful frozen vision and language models using hyperdimensional computing. This approach enables efficient image captioning without computationally intensive fine-tuning, preserving original model capabilities while creating cross-modal understanding.

75% relevant