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Microsoft ventures into AI chip development, reducing reliance on Nvidia - Vimarsana News

Microsoft ventures into AI chip development, reducing reliance on Nvidia

Microsoft and OpenAI consider in-house AI chip development to meet rising demand, potentially enhancing chip accessibility

Demystifying Artificial Intelligence - Sentinelassam - Vimarsana News

Demystifying Artificial Intelligence - Sentinelassam

Artificial Intelligence (AI) is the new gift of IT that enables the handling of data, created and stored in the binary of computer language, with a speed that exceeds the human capacity for collation...

Real-Time Defense Systems Response Will Require PCIe 5.0 - Military Embedded Systems - Vimarsana News

Real-Time Defense Systems Response Will Require PCIe 5.0 - Military Embedded Systems

A new generation of rugged, deployable application platforms achieve doubled bandwidth with PCIe gen 5, an integral part of the latest devices from industry giants Intel and NVIDIA.

Wirewound Variable Resistors Market Statistics, Size, and - Vimarsana News

Wirewound Variable Resistors Market Statistics, Size, and

The global wirewound variable resistors market is estimated to register a CAGR of 4.3% during 2022-2030, fueled by technology advancements in resistors for...

Autonomous Surveillance of Infants' Needs Using CNN Model for Audio Cry Classification - Vimarsana News

Autonomous Surveillance of Infants' Needs Using CNN Model for Audio Cry Classification

Infants portray suggestive unique cries while sick, having belly pain, discomfort, tiredness, attention and desire for a change of diapers among other needs. There exists limited knowledge in accessing the infants’ needs as they only relay information through suggestive cries. Many teenagers tend to give birth at an early age, thereby exposing them to be the key monitors of their own babies. They tend not to have sufficient skills in monitoring the infant’s dire needs, more so during the early stages of infant development. Artificial intelligence has shown promising efficient predictive an...

Source: scirp.org