Recently, compute-in-memory (CIM) has become a promising architecture for data-intensive applications such as deep learning. However, analog or digital CIM (ACIM or DCIM) faces some design challenges.

For LangChain users, the SDK provides automatic conversion of memory client tools to LangChain-compatible tools, eliminating the need for manual wrapping with @tool decorators.

Researchers studying how large AI models such as ChatGPT learn and remember information have discovered that their memory and reasoning skills occupy distinct parts of their internal architecture.

A new technical paper titled “Leveraging Chiplet-Locality for Efficient Memory Mapping in Multi-Chip Module GPUs” was published by researchers at Electronics and Telecommunications Research Institute ...

Golden Software has continued to enhance the 3D drillhole viewing functionality in the latest release of its Surfer mapping and 3D visualization software package. Overall, the new version of Surfer ...

LWMalloc is an ultra-lightweight dynamic memory allocator designed for embedded systems that is said to outperform ptmalloc used in Glibc, achieving up to 53% faster execution time and 23% lower ...

If AI is coming for filmmakers, don’t tell that to director Damien Hauser. In his latest feature, “Memory of Princess Mumbi,” which premieres in the Venice Days sidebar of the Venice Film Festival, ...

In today's lightning-fast software landscape, traditional architecture practices are becoming a bottleneck. The velocity and complexity of systems scaling across ephemeral microservices, complex APIs ...

A new technical paper titled “Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems” was published by researchers at National ...

Using ChatGPT on a long-term basis could have negative effects on brain function. That’s according to a study led by the Massachusetts Institute of Technology (MIT), which found that using a large ...