3D Integration Supports CIM Versatility And Accuracy


Compute-in-memory (CIM) is gaining attention due to its efficiency in limiting the movement of massive volumes of data, but it's not perfect. CIM modules can help reduce the cost of computation for AI workloads, and they can learn from the highly efficient approaches taken by biological brains. When it comes to versatility, scalability, and accuracy, however, significant tradeoffs are requir... » read more

Ferroelectrics: The Dream Of Negative Capacitance


Ferroelectrics are getting a serious re-examination, as chipmakers look for new options to maintain drive current. Ferroelectric materials can provide non-volatile memory, serving an important functional gap somewhere between DRAM and flash memory. Indeed, ferroelectrics for memory and 2D channels for transistors were two highlights of the recent IEEE Electron Device Meeting. Ferroelectri... » read more

New Materials Open Door To New Devices


Integrating 2D materials into conventional semiconductor manufacturing processes may be one of the more radical changes in the chip industry’s history. While there is pain and suffering associated with the introduction of any new materials in semiconductor manufacturing, transition metal dichalcogenides (TMDs) support a variety of new device concepts, including BEOL transistors and single-... » read more

The Growing Materials Challenge


By Katherine Derbyshire & Ed Sperling Materials have emerged as a growing challenge across the semiconductor supply chain, as chips continue to scale, or as they are utilized in new devices such as sensors for AI or machine learning systems. Engineered materials are no longer optional at advanced nodes. They are now a requirement, and the amount of new material content in chips contin... » read more