UCLA mechanical engineers have designed a new class of material that can learn behaviors over time and develop a “muscle memory” of its own, allowing for real-time adaptation to changing external forces.
AI
What’s in the October Issue?
Each issue of Semiconductor Digest has articles found only in the magazine. Click on the links to read the articles in the October issue. If you are attending SEMICON Europa stop by the publication bins and pick up a copy in print!
Perspectives on Semiconductor Factories (And Some Simple Truths About Manufacturing)
The simple addition of conveyors to existing OHT systems achieves the shorter cycle times due to tighter coupling of tools.
Miniaturized, Energy Efficient, and Faster Than Silicon: This New Computer Chip Is Ideal for AI
Artificial intelligence presents a major challenge to conventional computing architecture. In standard models, memory storage and computing take place in different parts of the machine, and data must move from its area of storage to a CPU or GPU for processing.
Powering the Quantum Leap
The role of cryogenic wafer probing in applications such as cryogenic quantum computing and supra-conductive CMOS semiconductors, where temperatures near absolute zero are essential, is discussed.
The Road to Future AI Is Paved with Trust
Linköping University is coordinating TAILOR, a EU project that has drawn up a research-based roadmap intended to guide research funding bodies and decision-makers towards the trustworthy AI of the future.
Nearly $11M in Addtional DOD Funds Expands Purdue-led Microelectronics Workforce Program
Five-year extension of SCALE workforce initiative aims to restore global lead through education initiatives.
Science, Tech, and AI Leaders Convene to Launch Kempner Institute
CZI co-founders and co-CEOs Mark Zuckerberg and Priscilla Chan and President of Harvard University Lawrence Bacow commemorate new research institute to study natural and artificial intelligence.
NIST and Google to Create New Supply of Chips for Researchers and Tech Startups
The U.S. Department of Commerce’s National Institute of Standards and Technology (NIST) has signed a cooperative research and development agreement with Google to develop and produce chips that researchers can use to develop new nanotechnology and semiconductor devices.
A New Framework: Opportunities of Open Access for Optimizing Yield in Semiconductor Manufacturing
An open, secure monitoring and intelligence transaction platform would empower chip manufacturers to solve their problems and optimize their operations, their way.
