Organizing data in a specific order, also known as sorting, is a central computing operation performed by a wide range of ...

In 1982 physicist John Hopfield translated this theoretical neuroscience concept into the artificial intelligence realm, with the formulation of the Hopfield network. In doing so, not only did he ...

A new technical paper titled “Hardware-based Heterogeneous Memory Management for Large Language Model Inference” was published by researchers at KAIST and Stanford University. Abstract “A large ...

AI agents can forget instructions. Methods to improve memory retention will make agents more powerful and useful.

Not to be overshadowed by the many AI announcements from AWS re:Invent this week, Pydantic, the team behind the leading open-source Python programming language data validation library, launched ...

While processor speeds and memory storage capacities have surged in recent decades, overall computer performance remains constrained by data transfers, where the CPU must retrieve and process data ...

Meet Memoripy: A Python library that brings real memory capabilities to AI applications. Memoripy addresses the problem of maintaining conversational context by equipping AI systems with structured ...

Explore strategies for optimizing AI memory and context usage to improve model interactions. Learn about the role of RAG in boosting AI model ...

AMD’s new Variable Graphics Memory lets laptop users reassign their RAM to gaming Just like a handheld, Strix Point laptops will soon easily let you move system RAM to your GPU.

A SPICE model for phase change memories (PCM) without relying on macro modules is developed in this work. The crystal fraction, physical geometry, and the conduction path of the amorphous region are ...

To demystify the roles of memory and credit assignment in RL and assess the impact of Transformers, researchers introduced formal, quantifiable definitions for memory and credit assignment lengths ...