Vector databases do more than simply store vectors - they generally incorporate a semantic search algorithm based on the nearest-neighbour technique to index and retrieve information that ...

Yes, transistors are smaller, CPUs are ever faster, but we're seeing diminishing returns. Learn about 3D integration, FPGAs, chiplets, accelerators and near memory computing.

We look at the use of vector data in AI, how vector databases work, plus vector embedding, the challenges for storage of vector data and the key suppliers of vector database products ...

Explore the human element of care in architecture and the impact of AI on design.

Pasqal, French Quantum Computer Company, has successfully loaded over 1,000 atoms in a single shot within their quantum computing setup, a significant leap towards scalable quantum processors. This ...

Modular, scalable hardware architecture for a quantum computer A new quantum-system-on-chip enables the efficient control of a large array of qubits, moving toward practical quantum computing.

A research team from MIT introduce a new programming language named ‘Finch’ to address the limitations of existing implementations. Finch aims to bridge the gap between flexible control flow and ...

The influence of weight transfer error on vector-matrix multiplication (VMM) in the AND array architecture is investigated. In AND array, a constant voltage is ...

This PiM based vector-matrix multiplication instruction is used to accelerate a variety of AI kernels like Conv2D, depthwise separable Conv2D, fully connected dense layers and other kernels which map ...