Researchers at Princeton Engineering and the Indian Institute of Technology have harnessed artificial intelligence to take a key step toward slashing the time and cost of designing new wireless chips and discovering new functionalities to meet expanding demands for better wireless speed and performance.
Marvell Announces Breakthrough Co-Packaged Optics Architecture for Custom AI Accelerators
Marvell Technology, Inc. today announced the advancement of its custom XPU architecture with co-packaged optics (CPO) technology.
DreamBig Semiconductor Announces Partnership with Samsung Foundry
DreamBig empowers customers to forge the future of AI, datacenter, edge, storage, and automotive solutions by developing application specific processor/accelerator chiplets and composing products by adding the chiplets to MARS Chiplet Platform with world leading Chiplet Hub for scale-up and Networking IO Chiplets for scale-out.
Littelfuse Completes Acquisition of the 200mm Wafer Fab Located in Dortmund, Germany
Acquisition supports long-term growth strategy by enhancing power semiconductor capabilities.
ASU Research Park Named as Planned Site for Third CHIPS for America R&D Flagship Facility
Facility is expected to host the world’s first 300mm front-end semiconductor manufacturing and advanced packaging research facility.
2025 Outlook: Executive Viewpoints
Each year, Semiconductor Digest turns to industry leaders and analysts to get their viewpoints on what they expect to see in the coming year in terms of critical tech and business trends.
2025: Navigating Shifts in Semiconductor Demand
I would expect numbers for wafer fab equipment (WFE) to be between 5% and 10% growth, reaching the low $100 billions for 2025.
2025: AI, Device Complexity Will Continue to Drive Packaging and Test Demands
The products used to power today’s AI/ML applications are far more complex than anything our industry has seen before.
2025: A Shift to Software-Defined Vehicles
Microchip Technology’s perspective on the automotive industry highlights the significant shift towards Software-Defined Vehicles (SDVs) and the increasing reliance on open-standard in-vehicle networks.
2025: Energy-Efficient, High-Performance AI Inference is Essential
The pressing need for seamless, real-time processing calls for solutions purpose-built for continuous, energy-efficient inference workloads. Metrics like inference-per-second-per-dollar-per-watt (I/S/D/W) are emerging as key indicators of value, underscoring efficiency and sustainability.
