A Bayesian decoder was employed to calculate the posterior probabilities of all position bins. This method assumes that transient counts follow a Poisson distribution and combines transient counts and ...

Here’s what the xAI chatbot’s handling of the Epstein mania shows about Elon Musk’s AI. T welve days ago, Elon Musk took to ...

These capabilities illustrate the multifaceted promise of AI: speeding up scientific discovery, improving patient outcomes, ...

The authors proposed two hypotheses: first, that methamphetamine induces neuroinflammation, and second, that it alters neuronal stem cell differentiation. These are valuable hypotheses, and the ...

Key considerations for discovery in AI-focused intellectual property (IP) litigation, including an examination of a hypothetical patent infringement and trade secret misappropriation case on highly ...

Reinforcement learning (RL) has emerged as a key approach for training agents in complex and uncertain environments. Incorporating statistical inference in RL algorithms is essential for understanding ...

Anthropic, the AI company founded by former OpenAI employees, has pulled back the curtain on an unprecedented analysis of how its AI assistant Claude expresses values during actual conversations ...

If we want to retain this distinctively human value, we need to be intentional about how algorithms figure in the choices we make. As AI becomes more embedded in our lives, we must actively ...

Kernel PCA Sample Code Overview Kernel PCA (KPCA) is a powerful machine learning technique which has been used for visualization, dimension reduction, and novelty detection.

Laura Caroli explores why overlooking the EU AI Act’s Code of Practice is a mistake, as stakeholders race to shape detailed rules for general-purpose AI ahead of critical 2025 deadlines.