In 2026, here's what you can expect from the AI industry: new architectures, smaller models, world models, reliable agents, ...
anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...
The more you learn about and use artificial intelligence (AI), the more you will see your skill set improve. The best is yet to come as you embrace and adapt to the changes.
Large language models (LLMs), such as ChatGPT, have rapidly entered healthcare, but strong clinical evidence for their real-world use remains limited ...
When Joshuaa Allison-Burbank worked as a speech pathologist in his home community of the Navajo Nation, he saw an effect of ...
These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...
Nvidia CEO Jensen Huang declared physical AI as enabling “a new era of AI,” a bold proclamation now backed by concrete ...
In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...
Top AI researchers like Fei-Fei Li and Yann LeCun are developing world models, which don't rely solely on language.
Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
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