AI and ML are fundamentally reshaping the landscape of embedded technology by enabling these devices to learn from data, make intelligent decisions, and adapt to their surroundings.
AI
Synopsys Showcases EDA Performance and Next-Gen Capabilities with NVIDIA Accelerated Computing, Generative AI and Omniverse
Building on more than three decades of collaboration, Synopsys, Inc. today announced it is working with NVIDIA to substantially accelerate chip design and advance automotive prototyping using the power of AI and accelerated computing.
TSMC and Synopsys Bring Breakthrough NVIDIA Computational Lithography Platform to Production
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.
UMass Amherst Researchers Join $26M Quantum Computing Effort to Build Internet of the Future
UMass is leading the core effort to design architectures and protocols for quantum networking for the National Science Foundation’s Center for Quantum Networks.
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.’
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.
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.
NSF to Launch National AI Research Resource Pilot
The U.S. National Science Foundation and collaborating agencies launched the National Artificial Intelligence Research Resource (NAIRR) pilot, a first step towards realizing the vision for a shared research infrastructure that will strengthen and democratize access to critical resources necessary to power responsible AI discovery and innovation.
Built for AI, This Chip Moves Beyond Transistors for Huge Computational Gains
The Defense Department’s largest research organization has partnered with a Princeton-led effort to develop advanced microchips for artificial intelligence.
Taalas Raises $50M in Funding
The company is taping out its first large language model chip in the third quarter of 2024 and planning to make it available to early customers in the first quarter of 2025.
