Deep Learning Spreads

By Ed Sperling - 31 Jan, 2018 - Comments: 0

Deep learning is gaining traction across a broad swath of applications, providing more nuanced and complex behavior than machine learning offers today. Those attributes are particularly important for safety-critical devices, such as assisted or autonomous vehicles, as well as for natural language processing where a machine can recognize the intent of words based upon the context of a convers... » read more

System Bits: Jan. 23

By Ann Mutschler - 23 Jan, 2018 - Comments: 0

Artificial synapse for “brain-on-a-chip” portable AI devices In the emerging field of neuromorphic computing, researchers are attempting to design computer chips that work like the human brain, which, instead of carrying out computations based on binary, on/off signaling like digital chips do today, the elements of a brain-on-a-chip would work in an analog fashion, exchanging a gradient of... » read more

Predictions: Markets And Drivers

By Brian Bailey - 11 Jan, 2018 - Comments: 0

Semiconductor Engineering received a record number of predictions this year. Some of them are just wishful thinking, but many are a lot more thoughtful and project what needs to happen for various markets or products to become successful. Those far reaching predictions may not fully happen within 2018, but we give everyone the chance to note the progress made towards their predictions at the en... » read more

The Future Of AI Is In Materials

By Sundeep Bajikar - 09 Jan, 2018 - Comments: 0

I had the pleasure of hosting an eye-opening presentation and Q&A with Dr. Jeff Welser of IBM at a recent Applied Materials technical event in San Francisco. Dr. Welser is Vice President and Director of IBM Research's Almaden lab in San Jose. He made the case that the future of hardware is AI. At Applied Materials we believe that advanced materials engineering holds the keys to unlocking... » read more

Can Autonomous Cars Get Around The Corner?

By Ed Sperling - 04 Jan, 2018 - Comments: 0

With all the buzz about autonomous vehicles, one big problem still remains. People and autonomous vehicles don't get along well together. Cars are predictable. People are not. Cars behave according to a predetermined set of rules. People look for opportunities and take them, even if they're sometimes not the wisest choice, such as passing around a blind curve or driving too fast on slippery ... » read more

System Bits: Dec. 12

By Ann Mutschler - 12 Dec, 2017 - Comments: 0

Increasing performance scaling with packageless processors Demand for increasing performance is far outpacing the capability of traditional methods for performance scaling. Disruptive solutions are needed to advance beyond incremental improvements. Traditionally, processors reside inside packages to enable PCB-based integration. However, a team of researchers from the Department of Electrical ... » read more

The Week in Review: IoT

By Jeff Dorsch - 01 Dec, 2017 - Comments: 0

Products/Services At this week’s AWS re:Invent conference in Las Vegas, Nevada, Amazon Web Services introduced a number of products and services for the Internet of Things, machine learning, and other areas. These include Amazon FreeRTOS (an operating system for IoT microcontrollers), AWS IoT Device Defender (security management), AWS IoT 1-Click, AWS IoT Device Management, AWS IoT Analytics... » read more

Blog Review: Nov. 22

By Ed Sperling - 22 Nov, 2017 - Comments: 0

ARM's Jem Davies talks about an upcoming documentary on AI and where the lines need to be drawn between machine intelligence and human emotional intelligence. Mentor's Saunder Peng examines the impact of merging physical verification databases, which can cost time and resources, and how that can be streamlined. Cadence's Paul McClellan takes a look back at the Xerox Alto and how it change... » read more

China’s Ambitious Automotive Plans

By Ed Sperling - 08 Nov, 2017 - Comments: 1

China has big plans for cars—and other related markets. After years of trailing behind Japanese, European and U.S.-based carmakers in automotive technology, reliability, status, and even market share within its own political borders, the country is making a concerted push into internally developed and manufactured assisted- and self-driving vehicles. The strategy plays out well for China o... » read more

Verifying AI, Machine Learning

By Ed Sperling - 28 Sep, 2017 - Comments: 0

[getperson id="11306" comment="Raik Brinkmann"], president and CEO of [getentity id="22395" e_name="OneSpin Solutions"], sat down to talk about artificial intelligence, machine learning, and neuromorphic chips. What follows are excerpts of that conversation. SE: What's changing in [getkc id="305" kc_name="machine learning"]? Brinkmann: There’s a real push toward computing at the edge. ... » read more

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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: artificial intelligence