STMicroelectronics' MCU AI Developer Cloud enables access to online services to benchmark edge-AI models on STM32 boards.
NXP's i.MX 95 family enables machine learning and advanced edge applications across automotive, industrial and IoT applications.
Keysight Technologies executives provide their forecasts on opportunities, challenges, trends, and developments to expect in the coming year.
The global automotive industry’s move toward electrification and intelligence is driving up demand further for chips, making the automotive market a battleground for semiconductor makers in recent years.
STMicroelectronics has released upgrades to both NanoEdge AI Studio and STM32Cube.AI to accelerate embedded AI and ML development projects.
A look at Kinara's accelerator and NXP processors which combine to deliver edge AI performance capable of delivering smart camera designs.
Excelpoint and Bkav are collaborating to develop and commercialize an AIoT platform built on Qualcomm chipsets and technology ecosystem.
A well-designed and adequately trained AI system finds insights more quickly while freeing humans from the mundane task of sorting through volumes of data.
Renesas has finalized the acquisition of embedded AI solutions provider Reality AI.
Companies looking to adopt edge AI into their products often find it to be a difficult challenge. But what makes it so difficult, and what solutions exist to solve this problem?