Want to help people resist misinformation for more than a few days? New research reveals why memory may be the missing piece ...

Upgrading your Mac's RAM can make a big difference in performance, but it's not as simple as buying a random module off the ...

While the CTM shows strong promise, it is still primarily a research architecture and is not yet production-ready out of the box.

CrewAI also has tooling around long-term agentic memory, while OpenAI’s Swarm requires users to bring their memory model ... said agents already have good short-term memory and can respond ...

A New Perspective on Memory Formation Our brain works diligently to record our experiences into memories, creating representations of our daily events that stay with us for short time periods ...

which can have substantial implications for the model’s performance. Context acts as the AI’s short-term memory, allowing it to maintain coherence and relevance in ongoing conversations.

We propose a multi patterns memory model discovering various dependency patterns for short-term multivariate time series forecasting to fill the gap. The proposed model is structured around two key ...

Scientists have now demonstrated the capability of a recurrent neural network -- a model that teaches computers to process data using long short-term memory -- to predict maize yield from several ...

The structure of an xLSTM model. xLSTM is actually a combination of transformer technology and Long Short-Term Memory. The research question of the associated paper is accordingly: "How far can we ...

The model is based on the long short-term memory (LSTM) model, which is a kind of recurrent neural network capable of learning order dependence in sequence prediction problems. The LSTM technique ...