EDA Pushes Deeper Into AI


EDA vendors are ramping up the use of AI/ML in their tools to help chipmakers and systems companies differentiate their products. In some cases, that means using AI to design AI chips, where the number and breadth of features and potential problems is exploding. What remains to be seen is how well these AI-designed chips behave over time, and where exactly AI benefits design teams. And all o... » read more

Building Tomorrow’s Electronics Piece By Piece


The semiconductor landscape is undergoing a seismic shift as the demand for more powerful and energy-efficient electronic devices reaches new heights. In a recent panel discussion at CadenceLIVE Europe, featuring luminaries such as Kevork Kechichian from Arm, Paul Cunningham from Cadence, Norbert Schuhmann from Fraunhofer, Trent Uehling from NXP, Davide Rossi from the University of Bologna, an... » read more

Making Heterogeneous Integration More Predictable


Experts at the Table: Semiconductor Engineering sat down to discuss problems and potential solutions in heterogeneous integration with Dick Otte, president and CEO of Promex Industries; Mike Kelly, vice president of chiplets/FCBGA integration at Amkor Technology; Shekhar Kapoor, senior director of product management at Synopsys; John Park, product management group director in Cadence's Custom I... » read more

Blog Review: November 29


Siemens' Matt Walsh checks out electro-thermal design and how a Boundary Condition Independent Reduced Order Model (BCI-ROM) can capture accurate characteristics from a 3D thermal analysis, ready for use in a 1D circuit simulation. Cadence's Vinod Khera considers how EDA could benefit from the AI revolution by providing a productivity boost through virtual assistants and improving code quali... » read more

Improving AI Productivity With AI


AI is showing up or proposed for nearly all aspects of chip design, but it also can be used to improve the performance of AI chips and to make engineers more productive earlier in the design process. Matt Graham, product management group director at Cadence, talks with Semiconductor Engineering about the role of AI in identifying patterns that are too complex for the human brain to grasp, how t... » read more

Autonomous Vehicles: Not Ready Yet


The swirl of activity around L4 and L5 vehicles has yet to result in a successful demonstration of an autonomous vehicle that can navigate the streets of a city or highway without incident, and there is a growing body of real-world data showing that much work still needs to be done. Robo-taxi trials in big cities such as San Francisco, Los Angeles, and soon San Diego, are proving that autono... » read more

Chip Industry Week In Review


By Jesse Allen, Karen Heyman, and Liz Allan Japan's Rapidus and the University of Tokyo are teaming up with France's Leti to meet its previously announced mass production goal of 2nm chips by 2027, and chips in the 1nm range in the 2030s. Rapidus was formed in 2022 with the support of eight Japanese companies — Sony, Kioxia, Denso, NEC, NTT, SoftBank, Toyota, and Mitsubishi's banking arm, ... » read more

Blog Review: November 15


Cadence's Neelabh Singh explores the process of lane initialization and link training in bringing up a high-speed link in USB4. Synopsys' Shela Aboud argues that TCAD should be an integral part of an EDA flow as it enhances design technology co-optimization with a way to experiment and determine what works and what doesn’t work at different process nodes using physics-based models. Siem... » read more

What Can Go Wrong In Heterogeneous Integration


Experts at the Table: Semiconductor Engineering sat down to discuss heterogeneous integration with Dick Otte, president and CEO of Promex Industries; Mike Kelly, vice president of chiplets/FCBGA integration at Amkor Technology; Shekhar Kapoor, senior director of product management at Synopsys; John Park, product management group director in Cadence's Custom IC & PCB Group; and Tony Mastroia... » read more

DRAM Choices Are Suddenly Much More Complicated


Chipmakers are beginning to incorporate multiple types and flavors of DRAM in the same advanced package, setting the stage for increasingly distributed memory but significantly more complex designs. Despite years of predictions that DRAM would be replaced by other types of memory, it remains an essential component in nearly all computing. Rather than fading away, its footprint is increasing,... » read more

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