NVIDIA today announced that TSMC and Synopsys are going into production with NVIDIA’s computational lithography platform to accelerate manufacturing and push the limits of physics for the next generation of advanced semiconductor chips.
MEMS
Weebit Nano to Demo its ReRAM Technology on GlobalFoundries’ 22FDX Platform
Weebit Nano Limited will showcase a live demo of Resistive Random-Access Memory (ReRAM) technology implemented in GlobalFoundries’ 22FDX platform.
Archer Miniaturizes Biochip gFET Chip Design
Archer Materials Limited, a semiconductor company advancing the quantum computing and medical diagnostics industries, has designed a miniaturized version of its Biochip graphene field effect transistor chip for fabrication at a commercial foundry.
SEALSQ Launches SEALBOX
SEALSQ Corp today announced the launch of SEALBOX, its innovative solution for IoT device provisioning at the manufacturing level.
New Study Shows Analog Computing Can Solve Complex Equations and Use Far Less Energy
UMass Amherst research demonstrates that a memristor device can solve complex scientific problems using significantly less energy, overcoming one of the major hurdles of digital computing.
Quantum Experts Join Forces to Revolutionize European Quantum Computing
ORCA Computing, Pixel Photonics, Sparrow Quantum, and the Niels Bohr Institute (NBI) announce their collaboration on the Eurostars project ‘SupremeQ.’
Advancing Toward Wearable Stretchable Electronics
Researchers at Stanford have been working on skin-like, stretchable electronic devices for over a decade.
What’s in the March Issue?
Each issue of Semiconductor Digest has articles found only in the magazine. Click on the links to read the articles in the March issue.
SEALSQ Unveils New Upgrades to INeS, Its Certificate Management Solution
SEALSQ Corp today unveiled new upgrades to INeS, its Certificate Management Solution (CMS), tailored for the IoT domain.
Flexible Artificial Intelligence Optoelectronic Sensors Towards Health Monitoring
A paper-based sensor based on the operation of the human brain paves the way for standalone energy-efficient AI-based health monitoring devices.
