Embodied AI world models drew $6 billion in Q1 2026 alone, but new analysis from Fusion Fund investors argues the LLM scaling ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

This article presents challenges and solutions regarding health care–focused large language models (LLMs) and summarizes key recommendations from major regulatory and governance bodies for LLM ...

A multilingual benchmark of 1,886 vaccine-related questions found that large language models answered most items accurately ...

Figure 1. LoRA-Chem: From Model Customization to Organic Chemistry Reaction Tasks. (a) Several machine learning algorithm paradigms applied to organic chemistry. (b) Inspired by AI-driven image style ...

The challenge of wrangling a deep learning model is often understanding why it does what it does: Whether it’s xAI’s repeated struggle sessions to fine-tune Grok’s odd politics, ChatGPT’s struggles ...

Mark Cuban says there are two types of people who use AI. Which one are you? "There are generally 2 types of LLM users, those that use it to learn everything , and those that use it so they don't have ...

These two specific types stand out. For some professions, “AI is coming for our jobs” is no longer a vague threat about ...