Industry stakeholders say while the move is directionally positive, it raises important questions around standardisation, ...

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 ...

After years of U.S-backed investment, the transfer of data systems marks a shift from external support to state control COVER STORY | RONALD MUSOKE | In a district hospital in eastern Uganda, a mother ...

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 ...

The African Union Pan-African Institute for Education for Development (AU IPED), through the Global Partnership for Education Knowledge and Innovation Exchange (GPE KIX) Africa 19 Hub a joint ...

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

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

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

Those who wait won’t just miss out on growth, they will soon start to lose loyal customers to competitors who are able to ...

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 ...