At first glance, it looks like the start of a human pregnancy: A ball-shaped embryo presses into the lining of the uterus ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

A new community-driven initiative evaluates large language models using Italian-native tasks, with AI translation among the ...

I discuss what open-source means in the realm of AI and LLMs. There are efforts to devise open-source LLMs for mental health guidance. An AI Insider scoop.

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...

Character.AI and Google have reached settlements with several families whose teens harmed themselves or died by suicide after ...

World models are the building blocks to the next era of physical AI -- and a future in which AI is more firmly rooted in our reality.

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP) ...

Researchers from Shanghai Jiao Tong University and East China Normal University conducted a large-scale review identifying ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

Abstract: During the COVID-19 pandemic, community tensions intensified, contributing to discriminatory sentiments against various religious groups, including Hindu communities. Recent advances in ...