STMicroelectronics' MCU AI Developer Cloud enables access to online services to benchmark edge-AI models on STM32 boards.
Synaptics' Michael Hurlston says rather than chasing advanced nodes, India should focus on trailing nodes "because that is where there is a capacity crunch."
NXP's i.MX 95 family enables machine learning and advanced edge applications across automotive, industrial and IoT applications.
Event camera processing is advancing and enabling a new wave of neuromorphic technology.
Alif, Bosch Sensortec, and Edge Impulse have simplified the creation of edge sensing applications that classify complex motions and identify gestures.
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.
Tech Mahindra and Depa are partnering to accelerate Thailand's digital transformation.
STMicroelectronics has released upgrades to both NanoEdge AI Studio and STM32Cube.AI to accelerate embedded AI and ML development projects.
Mimicking brain's behavior makes neuromorphic chips the best candidates for achieving efficient but powerful computing at the edge.
India has assumed the chairmanship of the Global Partnership on Artificial Intelligence (GPAI).