New research has found similarities in how humans and artificial intelligence integrate two types of learning, offering new ...

This architecture enables EO-1 to simultaneously process visual signals, language instructions, and action feedback, thereby enhancing the robot's intelligence level. In kitchen scenarios, EO-1 ...

The fields of psychology, robotics and machine learning have each been using some version of the concept for decades. You likely have a world model running inside your skull right now — it’s how you ...

Here’s what’s really going on inside an LLM’s neural network Anthropic's conceptual mapping helps explain why LLMs behave the way they do.

A common objective for neural networks is to find a mathematical function, or curve, that best connects certain data points. The closer the network can get to that function, the better its predictions ...

According to SiFive, its engineers enhanced the two designs with a new co-processor interface. The technology will make it ...

It's trained to string together words in its outputs that frequently show up next to each other in its training ... open-weights [models], you get the weights, which are these numbers, and you get how ...

What goes on in artificial neural networks work is largely a mystery, even to their creators. But researchers from Anthropic have caught a glimpse.

The idea of thinking machines (Turing, 1950) and the term “artificial intelligence” were introduced in the 1950s (McCarthy, 2007). The 1960s and 1970s saw the development of neural networks. The 1980s ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...