Skoltech scientists have devised a mathematical model of memory. By analyzing its new model, the team came to surprising ...

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 ...

The company’s main products include its memory-efficient chiplet-based D-Matrix Corsair platform, which is the world’s first ...

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 ...

Born in Larnaca in 2001, Papadopoulou studied Fine Arts at the Cyprus University of Technology in Limassol and holds a master’s degree in Art in Education from the University of Nicosia.

Next generation memory is starting today with planning and architectural design. Lam is simulating DRAM’s untested future by creating proposals for what 3D DRAM architecture could look like. They are ...

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

NAND Flash, a non-volatile memory technology, has transformed data storage with its high density, fast speeds, and low power consumption, enabling advanced applications in consumer electronics, ...

Recently, hafnia-based ferroelectric memory has emerged as a promising next-generation memory technology. Hafnia (Hafnium oxide) enables ferroelectric memories to operate at low voltages and high ...

Neo Semiconductor X-HBM architecture will deliver 32K-bit wide data bus and potentially 512 Gbit per die density. It offering 16X more bandwidth or 10X higher density than traditional HBM.

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.

A recent demo has showcased how the new memory technology could be applied in Red Hat Linux to speed up AI workloads cost-effectively.