Training AI world models on data about physical environments could improve their real-world capabilities in technologies such ...

Instead of just predicting words, world models actually learn how the physical world works, which is the "common sense" AI needs to finally reach AGI.

Today’s AI is still unreliable. Some researchers think solving that problem requires teaching AI systems to understand the world around them.

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world. Barbara is a tech writer specializing in AI and emerging technologies. With a ...

Large language models spread at unprecedented speed, but they also erased much of the competitive gradient. Everyone has access to the same models, the same interfaces, and, increasingly, the same ...

Demis Hassabis, Google Deepmind CEO, just told the AI world that ChatGPT’s path needs a world model. OpenAI and Google and XAI and Anthropic are all using the LLM (Large Language Model Approach).

While no one has figured out how to make money from generative artificial intelligence, that hasn’t stopped Google DeepMind from pushing the boundaries of what’s possible with a big pile of inference.

During his more than two decades with Nvidia, Rev Lebaredian has had a ringside seat to the show that has been the evolution of modern AI, from the introduction of the AlexNet deep convolutional ...

Tarun Eldho Alias is a technology leader with over a decade of experience in software development and is the founder and CTO of Neem Inc. During a recent discussion with a data scientist who studies ...

Katelyn is a reporter with CNET covering artificial intelligence, including chatbots, image and video generators. Her work explores how new AI technology is infiltrating our lives, shaping the content ...