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.
Samsung and NAVER are collaborating to develop semiconductor solutions tailored for hyperscale AI models.
Rain's scientific work proves training deep learning networks on analog chips works.
STMicroelectronics has released upgrades to both NanoEdge AI Studio and STM32Cube.AI to accelerate embedded AI and ML development projects.
MLPerf training and tinyML benchmarks show wins for Nvidia, Habana, and GreenWaves.
A stealthy startup plans to tackle 'everything between the AI framework and the hardware'.
Chin Fong Machine Industrial turned to ASUS IoT for implementing automatic optical inspection (AOI) in its manufacturing facility.
This is the 10th award that ITRI has collected from CES since its first participation in 2018.
The TinyML Platform works with high performance and Linux-capable Sapphire RISC-V processor and delivers an accelerated AI capability to the Sapphire core.
How can today's memory and storage technologies meet the stringent requirements of the challenging new edge applications?
A fireside chat with AspenCore staff to discuss day one at electronica 2022.
With the evolution of technology and the expansion of high-speed internet connections, the demand for audio streaming services has increased, creating previously unheard-of opportunities for the audio streaming industry.