New Systems of Chips: From Smart to Smarter
Advanced robotics that can manufacture autonomous vehicles. Humanitarian mapping that addresses the impacts of environmental injustice, human rights violations, and global pandemics. Digital imagery for diabetic retinopathy screening. We’re already plenty smart, as these examples demonstrate, but how can we get even smarter… to further enhance our efficiency and quality of life?
Artificial intelligence (AI)-based technologies are evolving rapidly, pushing machine learning (ML) down into the tiniest of devices–with many of the advances unimaginable even a couple of decades ago. But progress doesn’t stand still; device makers, data center owners, and the raft of creators trying to make tomorrow happen are demanding leaps in computational performance. The question is: are today’s chips up to the job?
For the answer, one only needs to look at what’s happening inside the electronic design automation (EDA) industry. It’s a resounding “Yes!” Still, while engineering ingenuity is bringing to life an incredible array of transformational possibilities, EDA experts are working furiously in the background to overcome substantial technological challenges. In this blog post, I’ll outline what needs to be done for the semiconductor and system design industry to continue driving innovation over the next decade.
To read the full article, click here
Related Semiconductor IP
- SHA-256 Secure Hash Algorithm IP Core
- EdDSA Curve25519 signature generation engine
- DeWarp IP
- 6-bit, 12 GSPS Flash ADC - GlobalFoundries 22nm
- LunaNet AFS LDPC Encoder and Decoder IP Core
Related Blogs
- From DIY To Advanced NoC Solutions: The Future Of MCU Design
- Rambus CryptoManager Root of Trust Solutions Tailor Security Capabilities to Specific Customer Needs with New Three-Tier Architecture
- Building Smarter, Faster: How Arm Compute Subsystems Accelerate the Future of Chip Design
- Protecting electronic systems from side-channel attacks
Latest Blogs
- Area, Pipelining, Integration: A Comparison of SHA-2 and SHA-3 for embedded Systems.
- Why Your Next Smartphone Needs Micro-Cooling
- Teaching AI Agents to Speak Hardware
- SOCAMM: Modernizing Data Center Memory with LPDDR6/5X
- Bridging the Gap: Why eFPGA Integration is a Managed Reality, Not a Schedule Risk