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If Anthropic Succeeds, a Nation of Benevolent AI Geniuses Could Be Born

The brother goes on vision quests. The sister is a former English major. Together, they defected from OpenAI, started Anthropic, and built (they say) AI's most upstanding citizen, Claude.

Aiforia Technologies Oyj: Aiforia and Techcyte announce strategic collaboration to advance AI-powered digital pathology

Aiforia and Techcyte announce strategic collaboration to advance AI-powered digital pathology Aiforia Technologies Plc, Press Release, March 21, 2025 at 09:00 a.m. EET Aiforia, a trusted provider of d

AI Caught 'Scheming' on Ethics Test: So, Did Claude Win or Lose?

Anthropic's Claude Sonnet 3.7 with reasoning displayed the behavior much more often than generative AI models without reasoning, including GPT-4.5.

AI-driven software is 96% accurate at diagnosing Parkinson's

Existing research indicates that the accuracy of a Parkinson's disease diagnosis hovers between 55% and 78% in the first five years of assessment. That's partly because Parkinson's sibling movement disorders share similarities,

AI in healthcare may be making unfair decisions: Study unveils alarming bias

The study introduces G-AUDIT (Generalized Attribute Utility and Detectability-Induced bias Testing) as a data modality-agnostic auditing tool, meaning it can be applied across different types of medical datasets,

Mayo Clinic's secret weapon against AI hallucinations: Reverse RAG in action

To tackle data-retrieval-based hallucinations in non-diagnostic use cases, Mayo Clinic has applied CURE reverse RAG paired with vector databases.

Health care is full of cognitive biases. Some think AI can help.

There are several cognitive biases that can occur in a medical context: Availability bias: The availability bias is the "tendency to overestimate the likelihood of events when they readily come to mind,

New AI framework aims to remove bias in key areas such as health, education and recruitment

Researchers from the Data Science and Artificial Intelligence Institute (DATAI) of the University of Navarra (Spain) have published an innovative methodology that improves the fairness and reliability of artificial intelligence models used in critical decision-making.