Toward Defining Qubits

By Ed Sperling - 06 Sep, 2017 - Comments: 0

Quantum computing, by many accounts the future of high-performance computing, will be blazing fast, state-dependent, and it will require extremely cold operating temperatures. But beyond some general areas of agreement, comparing progress made by companies or different research groups is confusing. What's missing is a simple nomenclature to define some of the basic technology used in quantum... » read more

Tools To Design CNNs

By Ann Mutschler - 28 Aug, 2017 - Comments: 2

Convolutional neural networks are becoming a mainstay in machine learning and artificial intelligence, allowing a network of distributed sensors to collect data and send them to a central brain for processing. This is a relatively simple idea in comparison to today's technology, and the idea of the [getkc id="261" kc_name="convolutional neural network"] has been around for some time. But bui... » read more

What’s New At Hot Chips

By Jeff Dorsch - 25 Aug, 2017 - Comments: 0

By Jeff Dorsch & Ed Sperling Machine learning, artificial intelligence and neuromorphic computing took center stage at Hot Chips 2017 this week, a significant change from years past where the focus was on architectures that addressed improvements in speed and performance for standard compute problems. What is clear, given the focus of presentations, is that the bleeding edge of comput... » read more

Auto Suppliers: More Than Chips

By Jeff Dorsch - 14 Aug, 2017 - Comments: 1

The semiconductor industry is revving up its present and future contributions to advanced driver-assistance systems and autonomous driving. Those areas represent tremendous growth opportunities for chips, modules, and software going into automotive electronics. There’s also the development of artificial intelligence and machine learning applications in automotive design, which are brand new c... » read more

The Week In Review: IoT

By Jeff Dorsch - 11 Aug, 2017 - Comments: 0

Connectivity M1 Limited of Singapore worked with Nokia to launch a nationwide narrowband Internet of Things network, targeting such applications as asset tracking, environmental monitoring, fleet management, and smart energy management for buildings. M1 hopes to boost the IoT ecosystem in Singapore with the new NB-IoT network. M&A DuPont has agreed to acquire Granular, a provider of digita... » read more

The Rising Value Of Data

By Ed Sperling - 09 Aug, 2017 - Comments: 0

The volume of data being generated by a spectrum of devices continues to skyrocket. Now the question is what can be done with that data. By Cisco's estimates, traffic on the Internet will be 3.3 zetabytes per year by 2021, up from 1.2 zetabytes in 2016. And if that isn't enough, the flow of data isn't consistent. Traffic on the busiest 60-minute period in a day increased 51% in 2016, compare... » read more

Using Machine Learning In EDA

By Ann Mutschler - 02 Aug, 2017 - Comments: 0

Machine learning is beginning to have an impact on the EDA tools business, cutting the cost of designs by allowing tools to suggest solutions to common problems that would take design teams weeks or even months to work through. This reduces the cost of designs. It also potentially expands the market for EDA tools, opening the door to even new design starts and more chips from more compan... » read more

The Week In Review: IoT

By Jeff Dorsch - 21 Jul, 2017 - Comments: 0

Finance Particle, the provider of a full-stack Internet of Things device platform for enterprises, has raised $20 million in Series B funding, bringing its total venture funding to $30 million. Spark Capital led the new round, with participation by Qualcomm Ventures and existing investors in the IoT startup. Machina Research estimates cellular IoT connections will increase from 334 million in ... » read more

Propelling Autonomous Vehicles Safely And Securely

By Ann Mutschler - 06 Jul, 2017 - Comments: 0

Last month, when asked about how important it was that Apple not miss out on the opportunities within automotive, Apple CEO Tim Cook told Bloomberg, “There is a major disruption looming there not only for self-driving cars but also the electrification piece. If you’ve driven an all-electric car, it’s actually a marvelous experience, and it’s a marvelous experience not to stop at the... » read more

EDA, IP Growth Hits Double Digits

By Ed Sperling - 06 Jul, 2017 - Comments: 0

The cloud, advanced packaging and AI/machine learning pushed up EDA and IP revenue to the highest Q1 growth level since 2011. Revenue was up 10.5% year over year to $2.168 billion, compared with $1.962 billion in Q1 2016, according to just-released numbers from the Electronic System Design (ESD) Alliance. The four-quarter moving average increased by 10.6%. The two largest regions, the Americ... » 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

Key Technologies To Extend EUV To 14 Angstroms

Alongside high-NA EUV will be better-performing photoresists, reduced roughness using passivation and etch, and lateral etching to reduce tip-to-tip dimensions.

by Laura Peters

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

tag: Google

Toward Defining Qubits

Tools To Design CNNs

What’s New At Hot Chips

Auto Suppliers: More Than Chips

The Week In Review: IoT

The Rising Value Of Data

Using Machine Learning In EDA

The Week In Review: IoT

Propelling Autonomous Vehicles Safely And Securely

EDA, IP Growth Hits Double Digits