Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with ...

AI data centers feature extremely high power densities, with loads that can ramp up or down within seconds, creating significant challenges for power system stability. Power quality issues such as ...

Jonathan Janos, Principal Solutions Architect at MongoDB, discussed effective approaches to modernizing legacy systems ...

Goldman Sachs Research projects U.S. data centers will consume ~8% of national electricity by 2030, up from ~3% in 2022.

Apprentice.io, the AI Manufacturing Company, today announced the launch of A1 - a first-of-its-kind, standalone artificial ...

In-memory computing, which processes data directly within memory units, is emerging as a powerful solution to overcome the ...

Towards 100 Million IOPS SSD Emulation for Next-generation GPU-centric Storage Systems,” was published by KAIST. Abstract ...

Most AI data centers today run inference on a single type of chip, typically Nvidia GPUs. Intel and SambaNova Systems are ...

Nutshell reports that transitioning from spreadsheets to CRM can be challenging due to data quality issues, longer timelines, ...

As part of CRN’s 2026 Storage 100, here are 50 vendors bringing software capabilities, services and cloud connectivity to storage technology.

Discover how Devin AI streamlines software engineering by automating code testing, managing pull requests, and building ...