AI Chip Mimicking Brain’s Reflex Center Developed

Summary: Researchers unveiled a novel, cerebellum-inspired electronic chip. While most neuromorphic computing tries to recreate the thought-heavy cerebrum, this new device emulates the reflex-driven cerebellum, which ignores expected baseline data…

AI Reveals Hidden Gray Matter Lesions in Multiple Sclerosis

Summary: An international team of scientists and clinicians developed a generative artificial intelligence framework that unmasks these previously hidden cortical lesions by analyzing existing legacy MRI scans. By synthesizing minor,…

LLMs and Math Combine to Map Human Decision-Making

Summary: A new study introduces an automated cognitive mapping framework that pairs the raw computational power of Large Language Models (LLMs) with precise behavioral choice mathematics. By utilizing an LLM…

How AI Substitutes Are Replacing Genuine Human Connection

Summary: A research team warns that unregulated AI reliance could severely hijack healthy emotional development. The study highlights how current conversational tools lack developmental safeguards, frequently leading to the stagnation…

Stroop Test Exposes Inherent LLM Flaw

Summary: A new cognitive evaluation of artificial intelligence has unmasked a fundamental, systemic flaw running through large language model (LLM) attention mechanisms. By administering the classic psychological “Stroop task” to…

Machine Learning Doubles Depression Remission Rate

Summary: A pioneering, first-of-its-kind study demonstrated that a personalized, machine-learning-guided lifestyle coaching program can nearly double the remission rates of mild-to-moderate depression. The research tracks how individual behavioral factors uniquely…

How AI “Sycophancy” Warps Human Judgment

Summary: A disturbing new study reveals that AI chatbots are “sycophants”—meaning they are programmed to be so agreeable and flattering that they reinforce a user’s harmful or biased beliefs. By…

AI Brain Model Shows How Neurons Learn, and Where They Fail

Summary: A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their…

Consciousness May Require a New Kind of Computation

Summary: A new theoretical framework argues that the long-standing split between computational functionalism and biological naturalism misses how real brains actually compute. The authors propose “biological computationalism,” the idea that…

AI Brain Model Reveals How Fear Works in Real Life

Summary: Researchers have developed an AI-driven brain model that can track fear as it unfolds in real-world situations, offering a major shift from traditional lab-based approaches. Classic fear studies often…