Chip Industry Maps Heterogeneous Integration
Nicky Lu talks about ‘ubiquitous intelligence’
Junko Yoshida, EETimes
5/24/2018 00:01 AM EDT
TAIPEI — In 25 years, after Facebook, Google, and Amazon have marched toward global domination by designing their own chips, what will the semiconductor industry look like? In a way, we’ve seen that future, and it’s here. Big data analysis, artificial intelligence, augmented and virtual reality, and autonomous vehicles have already emerged, although not yet in perfect form.
Nonetheless, most chip designers can’t even imagine that brave new world, let alone the inventions that they must fashion to stay relevant. A question that haunts designers is the sheer uncertainty of the industry’s direction. As Moore’s Law nears its “economic dead end” for most chip vendors (except giants like Intel and Samsung), is there somewhere else to turn?
To read the full article, click here
Related Semiconductor IP
- DC-DC Split-Pi Boost-Buck Converter
- Deep learning accelerator
- MIL-STD-1553 Controller IP
- UFS 5.x Device IP
- UCIe 3.x Controller IP
Related News
- EnSilica: Ongoing Investment in Space Industry Fuelling Silicon Chip Demand
- InPsytech Tapes Out F2F SoIC Design Compliant with UCIE 2.0 Standard Enabling High-Speed Interconnects for 3D Heterogeneous Integration
- Virtusa Acquires Bengaluru based SmartSoC Solutions, Establishing Full-Stack Service Offering from Chip to Cloud and Driving Expansion into the Semiconductor Industry
- Avery Dennison announces first-to-market integration of Pragmatic Semiconductor’s chip on a mass scale
Latest News
- BrainChip Announces Commercial Availability and Production Shipments of AKD1500 Neuromorphic Processors
- Allegro DVT plays a pivotal role in groundbreaking CHASSIS Automotive Base Die development
- AI Component Capacity Squeeze and Foundry Output Cuts to Extend Mature-Node Price Increases in 2027
- Xiphera Selected for ESA ARTES Project to Advance Secure High-Speed Satellite Communications
- Amlogic Unveils A311Y3: Next-Generation 6nm SoC Built to Power the Edge AI Ecosystem