In the final part of this series, we zero in on three photonics technologies expected to be essential for demanding computing and communication systems of the future.

Despite being preferred by newly established companies that had the same needs for ISAs as their competition, they lacked the time and resources to deal with costly, complex proprietary ISAs.

I had the chance to explore this question publicly when I presented my talk on AI and education at a Maker Faire event. Standing on that stage surrounded by curious students, seasoned engineers and ...

For embedded systems, industrial controllers, AI edge devices, and automotive ECUs, SoC longevity, interoperability, and silicon maturity often matter more than raw speed. That’s why PCIe 3.0 remains ...

Taiwan Semiconductor Manufacturing Co (TSMC, 台積電) received about NT$147 billion (US$4.71 billion) in subsidies from the US, Japanese, German and Chinese governments over the past two years for ...

Sam Dale, Senior Technology Analyst, IDTechEx, says opportunities for photonic integrated circuits platforms are expected to grow in the next decade. Photonic Integrated Circuits (PICs) use ...

Europe has never lacked scientific ingenuity. From photonics to quantum computing, the continent continues to produce world-class research and ambitious startups. But when it comes to scaling deep ...

Oulu stregthens its position as a high-tech ecosystem in Europe, driven by a thriving semiconductor industry that leverages its legacy in wireless technologies and focuses on innovation, collaboration ...

Cadence VIP are trusted by hundreds of customers. They offer a comprehensive verification solution for the most complex protocols, along with a UVM SystemVerilog test suite that speeds up bring-up ...

What’s New: Synopsys hosted a series of events with automotive ecosystem leaders to discuss the trends, technologies, and engineering capabilities needed to advance the development of AI-powered, ...

Samsung has officially announced its mass production results for its new 2nm GAA process node, saying that it's 5% faster, 8% more efficient, and has 5% more area than its current 3nm GAA process.

Jotunn8 is VSORA’s flagship AI-inference chip, engineered exclusively for inference workloads rather than training. It delivers ultra-low latency and very high throughput by overcoming the memory wall ...