AI Begins To Reshape Chip Design

By Ed Sperling - 01 Nov, 2018 - Comments: 1

Artificial intelligence is beginning to impact semiconductor design as architects begin leveraging its capabilities to improve performance and reduce power, setting the stage for a number of foundational shifts in how chips are developed, manufactured and updated in the future. AI—and machine learning and deep learning subsets—can be used to greatly improve the functional control and pow... » read more

Connected Cars: From Chip To City

By Ann Mutschler - 01 Nov, 2018 - Comments: 0

As the automotive industry moves closer to autonomous vehicles, ecosystem players are focusing on the infrastructure pieces needed to make autonomous technology a reality for the first adopters, which are most likely commercial fleets. Vehicle-to-infrastructure (V2I or v2i) is a communications model that allows vehicles to share information with the components that support a country's hi... » read more

Quantum Random Numbers Future-Proof Encryption

By Kevin Fogarty - 01 Nov, 2018 - Comments: 0

It may be a decade or more before quantum computers become common enough that we'll find out whether "post-quantum cryptography" will stand up to genuine quantum computers. In the meantime, some quantum researchers are peeling off specific functions and turning them into products or companies so that it's possible to take advantage of the potential of quantum computers without actually havin... » read more

FAA Traffic Management Anticipates Flying Cars

By Kevin Fogarty - 17 Oct, 2018 - Comments: 0

It may be a year or more before the U.S. Federal Aviation Administration (FAA) changes its rules enough for Amazon or other hopefuls to deliver products by drones. But the five-year FAA Reauthorization Act of 2018, signed into law Oct. 5, confirmed controversial rules the FAA considers critical to its ability to regulate drone traffic and confirmed funding and plans for drone-specific additi... » read more

ADAS Meets Anthropology

By Ed Sperling - 10 Oct, 2018 - Comments: 0

Melissa Cefkin, principal scientist and design anthropologist at the Nissan Research Center, sat down with Semiconductor Engineering to talk about how people will interact with autonomous vehicles and AI and why different disciplines are required to make this work. What follows are excerpts of that conversation. SE: Why did Nissan hire an anthropologist? Cefkin: Anthropologists have been ... » read more

Adding Safety Into Automotive Design

By Ann Mutschler - 04 Oct, 2018 - Comments: 0

The ISO 26262 spec is a household term for anyone even remotely involved with the automotive industry today. Increasingly, though, it is being used interchangeably with safety-readiness across the entire supply chain. ISO 26262 compliance is a prerequisite for IP and chips used in an increasing number of automotive applications. It applies to systems, software, and to individual products. An... » read more

Making Buildings Smarter

By Jeff Dorsch - 04 Oct, 2018 - Comments: 1

Calling a building “smart” implies that technology is embedded to make that building more efficient, useful, convenient and profitable. The goal is to program efficiency beyond what humans can provide. But “smart” also may imply a healthy dose of marketing hype. No one wants to live in a “dumb building,” but it's difficult to define what makes a building smart. And while much is ... » read more

Anti-Drone Tech Emerges With Drone Growth

By Kevin Fogarty - 04 Oct, 2018 - Comments: 2

The ability of unmanned aerial vehicles to fly legally over fences, walls and property lines is disrupting more than just the few industries that use drones commercially. As the drone market grows, so does the anti-drone market. The market for products that track, trap or break unmanned aerial vehicles (UAV) is growing alongside the market for drones, much of it driven by fear that UAVs coul... » read more

Machine Learning Shifts More Work to FPGAs, SoCs

By Kevin Fogarty - 24 Sep, 2018 - Comments: 0

A wave of machine-learning-optimized chips is expected to begin shipping in the next few months, but it will take time before data centers decide whether these new accelerators are worth adopting and whether they actually live up to claims of big gains in performance. There are numerous reports that silicon custom-designed for machine learning will deliver 100X the performance of current opt... » read more

People Vs. Self-Driving Cars

By Susan Rambo - 12 Sep, 2018 - Comments: 7

If you’re a screenwriter—or a car salesman—you’re already thinking of ways to write non-sci-fi self-driving cars into a movie script. Automobiles have been integral to the plots of gritty noir crime movies, heist flicks, romantic comedies, and obviously, road movies. What's clear is the self-driving car won’t be the ideal getaway vehicle anymore, particularly if there is no steerin... » read more

← Older posts Newer posts →

Knowledge Centers
Entities, people and technologies explored

Shift Left Is The Tip Of The Iceberg

A transformative change is underway for semiconductor design and EDA. New languages, models, and abstractions will need to be created.

by Brian Bailey

Partitioning In The Chiplet Era

Understanding how chiplets interact under different workloads is critical to ensuring signal integrity and optimal performance in heterogeneous designs.

by Ann Mutschler

3.5D: The Great Compromise

Pros and cons of a middle-ground chiplet assembly that combines 2.5D and 3D-IC.

by Ed Sperling

AI’s Role In Chip Design Widens, Drawing In New Startups

Focus is on letting engineers do much more with the same or fewer resources — and less drudgery.

by Karen Heyman

What Comes After HBM For Chiplets

The standard for high-bandwidth memory limits design freedom at many levels, but that is required for interoperability. What freedoms can be taken from other functions to make chiplets possible?

by Brian Bailey

Memory Fundamentals For Engineers

eBook: Nearly everything you need to know about memory, including detailed explanations of the different types of memory; how and where these are used today; what's changing, which memories are successful and which ones might be in the future; and the limitations of each memory type.

by The SE Staff

Why Small Fab And Assembly Houses Are Thriving

Megafabs churning out the most advanced processors are not the only game in town.

by Bryon Moyer

New AI Processors Architectures Balance Speed With Efficiency

Hot Chips 24: Large language models ratchet up pressure for sustainable computing and heterogeneous integration; data management becomes key differentiator.