Interesting Engineering

New in-memory computing chip promises faster processing with lower energy use

AI chip makers SK hynix and TetraMem unveil a chip that computes inside memory to reduce power use and data movement.

Intel Nova Lake Set to Bring AVX-512 Back to Consumer CPUs

Intel Nova Lake CPUs are expected to bring AVX-512 back to Intel’s consumer processor lineup, marking an important change ...

Intel's troubled 18A chip process is finally running smoothly

BlueFin says Intel has resolved the yield issues that had dogged 18A over the past few months, making high-volume production of its latest node sustainable from ...
PCMag

Did MSI Just Give Gamers, Overclockers a New Source of Ultra-High-Speed DDR5?

With BIOS support for memory chips from China's CXMT, MSI unlocks much faster kits from the niche memory brand. In 2026, more ...

Intel Nova Lake-S midrange CPUs could be bringing AMD's X3D cache trick to more affordable chips

According to the post, each processor combines 6 "Coyote Cove" P-cores, 12 "Arctic Wolf" E-cores, and 4 LP-E cores. That mix ...
PCMag

I Tested a New Intel 'Wildcat Lake' CPU. Should Laptop Shoppers on a Budget Get Excited?

Intel's Wildcat Lake Core 3 Series chip family is all about low-cost laptops. The first numbers show just where it shines and ...

Intel may bring back older desktop CPUs because DDR5 is getting too expensive

Intel is reportedly restarting production of older Core CPUs as DDR5 prices make new gaming PC builds harder to justify.
IEEE

MRCIM: A Many-Core Reconfigurable Computing-in-Memory Processor Combining CPU and Tensor Modes for NN Acceleration

Abstract: Many-core architecture is a promising architecture to accelerate increasingly larger neural networks (NNs). Most many-core architectures couple a standalone CPU core and a tensor core ...
Windows Central

I tested Microsoft PC Manager’s RAM-freeing tool and learned why high memory usage isn’t always a problem

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IEEE

BAM-Net: Hardware Friendly Associative Memory Using Binary Dominant Weights and NAND Logic

Abstract: This paper presents BAM-Net, a hardware-efficient binarization algorithm designed for associative memory (AM) implementation. BAM-Net aims to reduce memory overhead, power consumption, and ...