Semiconductor Tech Received Most Granted Patents in 2023

An annual analysis of publicly available patent data from IP management firm Anaqua found that semiconductor technologies received the most granted patents in the US in 2023, the second year in a row that semiconductors have topped the list. 

Saras Micro Devices Opens New HQ in AZ

The company seeks to support and leverage growing semiconductor and advanced packaging ecosystem in the region

Supercomputer Heads into Space

Expanding its venture into space computing, Hewlett Packard Enterprise (HPE) will launch an updated HPE Spaceborne Computer-2 to the International Space Station (ISS).

Demand for AI-Optimized Chipsets to Spur Requirements for Hybrid Bonding

Compared with other methods, hybrid bonding offers inherent advantages in high-density IO (input- output), reduced parasitic delay, shorter height and improved thermal performance.

Leveraging AI/ML to Increase Capacity in Mature Semiconductor Manufacturing Environments

The next phase for Industry 4.0 initiatives will be to aggregate ML models to provide fab-wide predictions such as Wafer Acceptance Testing.

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.

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.

Overcoming the Risks of Change Management When Adopting Digital Technology

Choosing the right 4IR technology can eliminate risk in digital adoption.

Shortages of Equipment, Design Engineers, Face Booming Semiconductor Industry

How to level the playing field with AI software engineers.

The Human Hand: Curating Good Data and Creating an Effective Deep-Learning R2R Strategy for High-Volume Manufacturing

Areas ideally suited for AI applications may be repetitive and mental labor-intensive tasks with good available data, or when analytical methods are not applicable or too difficult to find, or data interpolation.