Test, Measurement & Analytics

Top Stories

Reducing Costly Flaws In Heterogeneous Designs

Why finding and fixing errors in AI and automotive chips is so difficult.

Shrinking AV’s 1 Billion Test Miles

What makes an autonomous vehicle safe in real-world traffic situations?

Testing Against Changing Standards In Automotive

There is no right answer yet for autonomous vehicles, and that's causing problems.

How Hardware Can Bias AI Data

Degrading sensors and other devices can skew AI data in ways that are difficult to discern.

Test On New Technology’s Frontiers

Where the gaps are and what that means for coverage and reliability.

Nvidia’s Top Technologists Discuss The Future Of GPUs

Power, performance, architectures, and making AI pervasive.

More Semiconductor Data Moving To Cloud

A year ago many companies were unwilling to ship their data offsite. What changed?

How Many Test Miles Make A Vehicle Safe?

Simulation and test can improve safety, but that requires a standard framework and definitions.

Using Better Data To Shorten Test Time

More sensors plus machine learning are making it possible to focus testing where it has the most impact.

Silicon Photonics Begins To Make Inroads

Maturing processes and new application areas open doors for extremely fast, low-power applications.

More Top Stories »

Round Tables

New 5G Hurdles

Experts at the Table, part 2: Getting 5G standards and technology ready are only part of the problem. Reducing latency and developing applications ...

Preparing For A 5G World

Experts at the table, part 1: Rising costs, massive complexity, and challenges in testing and simulating these devices will require some fundamenta...

More Roundtables »


Changes In Data Storage and Usage

Managing data lakes, silos, and different data types.

New Challenges In Testing 5G Devices

Complex hurdles in characterizing performance and optimizing signals.

Improving Quality Through Data Analytics

How to utilize data across different manufacturing processes.

Ensuring A 5G Design Is Viable

What's different in 5G vs. 4G.

Using ML For Post-Silicon Validation

Why machine learning is so effective in improving chip designs.

More Multimedia »

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Latest Blogs

Editor's Note

Big Shift In AI Perception

Developers of machine learning are beginning to put a much friendlier face on...
October 8, 2019
Test For The Autonomous Age

The Single Best DFT Move You Can Make

Hierarchical DFT solves many of the biggest challenges in DFT, pattern genera...
Scaling Electronics

From Womb To Tomb: A Lifetime Of Chip Data In A Common La...

How ongoing in-chip monitoring reveals ways to optimize performance and addre...
Semiconductor Yield Management

The Unexpected Impact Of Lots On Hold

Unusual ways manufacturing schedules can be derailed.
Inside Big Data

Machine Learning For ADAS Camera Manufacturing

The need for high quality automotive cameras is rising, and new technologies ...
September 16, 2019
Accelerating Design & Test

Looking To Unlicensed Spectrum For 5G

Large amounts of spectrum are necessary for 5G to meet its potential, but sha...
September 10, 2019
Extraordinary ASICs

Deprocessing And SEM For Semiconductor Failure Analysis

Finding failure sites that are hidden from optical view.
July 9, 2019

Knowledge Centers
Entities, people and technologies explored

  Trending Articles

Using Machine Learning In Fabs

ML will augment existing manufacturing processes, but it won’t replace them.

The Race To Next-Gen 2.5D/3D Packages

New approaches aim to drive down cost, boost benefits of heterogeneous integration.

Over $7 Billion Raised In Mega-Rounds By 27 Firms

September was spectacular for startups, as 27 tech companies raised $100 million or more, taking in a total of $7.1 billion during the month.

Week in Review – IoT, Security, Autos

Cadence teams with Adesto on IoT; Synopsys PrimeECO; UPS drones; FireEye for sale.

Why EV Battery Design Is So Difficult

Classic automotive design in a silo no longer works for cars that operate as electronic systems.