AI Drives IC Design Shifts At The Edge


The increasing adoption of AI in edge devices, coupled with a growing demand for new features, is forcing chipmakers to rethink when and where data gets processed, what kind of processors to use, and how to build enough flexibility into systems to span multiple markets. Unlike in the cloud, where the solution generally involves nearly unlimited resources, computing at the edge has sharp cons... » read more

SONOS Non-Volatile Memory Technology


The demand for embedded flash memory has grown steeply over the years as many new applications emerged in consumer electronics (touchscreens, smart cards, bank cards, mobile payment, e-passport, etc.) in addition to the industrial system-on-chip (SOC) designs. The memory content of these applications has been increasing steadily due to greater requirements on system performance and code/data st... » read more

EMEA Investments Driving Technology Specialization


Government programs across Europe and the UK are seeing a surge of investments in leading edge technology, materials, and packaging. Industry and academia are coalescing around specialty areas, drawing on established relationships to foster innovation and fill gaps in regional supply chains while also maintaining international bonds. Government initiatives also are picking up in Israel, Saudi A... » read more

Chip Industry Week In Review


Siemens announced plans to acquire Altair Engineering, a provider of industrial simulation and analysis, data science, and high-performance computing (HPC) software, for about $10 billion. Altair's software will become part of Siemens' Xcelerator portfolio and provide a boost to physics-based digital twins. Onto Innovation bought Lumina Instruments, a San Jose, California-based maker of lase... » read more

Chip Industry Week In Review


Europe's top court ruled in Intel's favor, voiding a $1.1 billion fine imposed by the European Union and dismissing charges of anti-competitive behavior. IBM released yield benchmarks for high-NA EUV, which serve as proof points that the newest advanced litho equipment will enable scaling beyond the 2nm process node. Also on the lithography front, Nikon is developing a maskless digital litho... » read more

Chip Industry Week In Review


Arm joined forces with Korea's Samsung Foundry, ADTechnology, and Rebellions to create a CPU chiplet platform for AI training and inference. The new chiplet will be based on Samsung's 2nm gate-all-around technology. Intel and AMD, arch competitors for decades, formed an x86 ecosystem advisory group to collaborate on architectural interoperability and simplify software development. Samsung... » read more

Chip Industry Week In Review


Imec announced a new automotive chiplet consortium to evaluate which different architectures and packaging technologies are best for automotive applications. Initial members includes Arm, ASE, Cadence, Siemens, Synopsys, Bosch, BMW, Tenstorrent, Valeo, and SiliconAuto. Imec also launched star, a global network bringing together automotive and semiconductor innovators to address technological c... » read more

Sustainable Rail Transportation With High Power SiC Modules: Part 2


In the first part of this blog, we had a look at how energy-efficient high-power modules contribute to the decarbonization of railway transportation. This part will focus on the future of traction: high-power silicon carbide modules, their key features, and the multiple system benefits they enable. Silicon carbide power modules and hybrid-propulsion trains: It’s a match! As we inch toward... » read more

Challenges In Reducing Wireless Latency


A new and much faster version of Wi-Fi is beginning to infiltrate the IoT market, reducing latency that has begun to creep up as more data is generated, processed, and moved wirelessly from one device to another. An estimated 20 billion connected devices are currently in use. Over the next several years, devices will start to include faster wireless connectivity, enabling more rapid transfer... » read more

Paving The Way For Sustainable AI


Real-time requirements and the need for power-efficiency, security and privacy drives AI-processing at the edge. Key benefits of Edge AI include: -Low latency and real-time response -High power efficiency -Improved security and data privacy -Reduced cost A complementary set of AI-specific products and solutions, an end-to-end ML platform as well as an extensive application kno... » read more

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