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Artificial Intelligence

·May 27, 2023·4 min read

BigNeuron: Revolutionizing Neuron Reconstruction with AI

Researchers published a research paper detailing their project, BigNeuron. This initiative seeks to establish standard methods for the accurate and swift automated reconstruction of neurons, using deep learning algorithms.

Featured Neuroscience Psychology

·May 24, 2023·3 min read

Placebo Effect: AI Augmentation Belief Spurs Risk-Taking

The belief in AI enhancement can lead to increased risk-taking behavior. In the study, participants were informed that an AI application would enhance their cognitive abilities during a virtual card game. Despite the absence of actual AI assistance, participants displayed higher risk-taking, indicating a potential placebo effect in technological applications.

Featured Neuroscience Open Neuroscience Articles

·May 22, 2023·4 min read

AI Unlocks Enzyme Secrets

Researchers used artificial intelligence to predict how enzymes interact with various substrates. The team developed an AI model that can accurately predict whether an enzyme can work with a particular molecule.

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·May 21, 2023·2 min read

Unraveling Sex-Specific Alzheimer’s Factors with AI

A new study employs 'Evolutionary Action Machine Learning' (EAML) to explore sex-specific genes that contribute to Alzheimer's Disease (AD). Researchers discovered 98 genes associated with AD, some of which were found to affect disease progression differently in men and women.

Featured Genetics Neuroscience

·May 19, 2023·5 min read

AI Unlocks Custom-Tailored DNA Sequences

Researchers are using artificial intelligence (AI) to dig deep into the mechanisms of gene activation, a crucial process in growth, development, and disease. Utilizing machine learning, the team identified “synthetic extreme” DNA sequences that play specific roles in gene activation. These sequences were discovered by testing millions of DNA sequences and comparing gene activation elements in humans and fruit flies.

Featured Neuroscience Psychology

·May 17, 2023·5 min read

AI Voice Assistant Proves Effective in Mental Health Treatment

Researchers conducted a pioneering pilot study, utilizing an AI voice-based virtual coach, Lumen, for behavioral therapy. The study showed promising results, with improved depression and anxiety symptoms in patients alongside notable changes in brain activity.

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Featured Neuroscience

·May 16, 2023·7 min read

AI Triumph: ChatGPT Passes Radiology Exams

ChatGPT has successfully passed a radiology board-style exam, demonstrating the potential of large language models in medical contexts. The study utilized 150 multiple-choice questions mimicking the style and difficulty of Canadian Royal College and American Board of Radiology exams.

Featured Neuroscience

·May 15, 2023·4 min read

AI Breakthrough Detects Alzheimer’s Early With Smartphones

Researchers are developing a machine learning model aimed at early detection of Alzheimer's dementia. This model, potentially accessible via smartphones, can distinguish between Alzheimer's patients and healthy individuals with 70-75% accuracy. By focusing on speech patterns rather than content, the tool could offer invaluable early indicators, potentially initiating earlier treatment and slowing disease progression.

Featured Neuroscience Psychology

·May 15, 2023·4 min read

AI in Tetris Game Alters Player Perception and Performance

In a new study, players of a modified two-person Tetris game perceived their partners as less likable when they had fewer turns, irrespective of whether a human or algorithm determined the turn allocation. The researchers aimed to explore how AI-driven decisions can influence human relationships and interactions.

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Featured Neuroscience

·May 14, 2023·8 min read

AI Models Misjudge Rule Violations: Human Versus Machine Decisions

Researchers found machine-learning models often fail to accurately replicate human decisions regarding rule violations, tending towards harsher judgments. This is attributed to the type of data these models are trained on; often labeled descriptively rather than normatively, which leads to differing interpretations of rule violations.