Supply chain security; critical area analysis; on-device ML.
Synopsys’ Taylor Armerding warns that without making cybersecurity a priority, companies may be positioning themselves as the weak link in the supply chain, and provides some tips for protecting both the company and its customers.
Siemens EDA’s Simon Favre points to critical area analysis and design for manufacturing as two important strategies to improve IC yield and quality.
Cadence’s Paul McLellan listens in as Benedict Evans digs into what the COVID-19 pandemic has done to change the landscape of the Internet, including the massive increase in e-commerce and video calls.
Arm’s Koki Mitsunami explores on-device machine learning using PyTorch Mobile with the Android Neural Networks API to improve NN performance on mobile devices.
Ansys’ Luke Munholand checks out how simulation was used to overcome the obstacles of the Martian atmosphere and enable the Ingenuity helicopter to make the first flight on another planet.
SEMI’s Nishita Rao chats with Alberto Speranzon of Honeywell Aerospace about the potential of autonomous air taxis in urban areas and the technologies, such improved batteries, sensors, and machine learning, that could enable it.
Nvidia’s Dion Harris provides a primer on quantum computing and shows how it is influencing a new generation of simulations already running on classical computers.
Plus, check out the blogs featured in the latest Manufacturing, Packaging & Materials newsletter:
Executive editor Mark LaPedus talks with analyst Bill McClean about the outlook for foundry, memory, and fabs.
Amkor’s Sophie Olson explains why packaging reliability is essential for power semiconductors used in automotive applications.
Calibra’s Jan Willis asks why multi-beam mask write time becomes constant no matter how complex the mask shapes.
SEMI’s Christian Dieseldorff examines forecasts that predict fabs worldwide will add about $10 billion worth of equipment each year as spending climbs to top $80 billion in 2022.
Synopsys’ Guy Cortez looks at why data analytics is quickly becoming an indispensable part of the complete IC production flow.
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