The paper, entitled ‘Novel memory-efficient computer architecture integration in RISC-V with CXL’ reported that this demonstration device had achieved an acceleration factor of 16 to 128 times ...

Low Computational Efficiency: The standard implementation breaks down the attention computation into multiple independent steps (such as matrix multiplication and softmax), each requiring frequent ...

A technical paper titled “Integrated Hardware Architecture and Device Placement Search” was published by researchers at Georgia Institute of Technology and Microsoft Research. Abstract: “Distributed ...

Arteris, Inc. announced that Whalechip has licensed its FlexNoC 5 network-on-chip interconnect IP to design a custom ASIC for advanced near-memory computing architecture, addressing memory access ...

Titans architecture complements attention layers with neural memory modules that select bits of information worth saving in the long term.

The CellularRAM architecture provides significant advantages over traditional SRAMs and six-transistor (6T) SRAM cells by leveraging the technology and reduced size of a DRAM cell.

Smart memory node device from UniFabriX is designed to accelerate memory performance and optimize data-center capacity for AI workloads.

A new technical paper titled “Toward Single-Cell Multiple-Strategy Processing Shift Register Powered by Phase-Change Memory Materials” was published by researchers at Singapore University of ...

Using cutting-edge genetic tools, 3D electron microscopy, and artificial intelligence, Scripps Research scientists and colleagues have uncovered key structural hallmarks of long-term memory ...

“We’re honored to have two distinguished computer architecture experts join our Technical Advisory Board,” said Alper Ilkbahar, Executive Vice President, Chief Technology Officer, and HBF ...