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

3D Neuromorphic Architectures

By Katherine Derbyshire - 11 Dec, 2017 - Comments: 1

Matrix multiplication is a critical operation in conventional neural networks. Each node of the network receives an input signal, multiplies it by some predetermined weight, and passes the result to the next layer of nodes. While the nature of the signal, the method used to determine the weights, and the desired result will all depend on the specific application, the computational task is simpl... » read more

Toward Neuromorphic Designs

By Katherine Derbyshire - 25 Oct, 2017 - Comments: 1

Part one of this series considered the mechanisms of learning and memory in biological brains. Each neuron has many fibers, which connect to adjacent neurons at synapses. The concentration of ions such as potassium and calcium inside the cell is different from the concentration outside. The cellular membrane thus serves as a capacitor. When a stimulus is received, the neuron releases neur... » 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

Terminology Beyond von Neumann

By Katherine Derbyshire - 21 Sep, 2017 - Comments: 0

Neural networks. Neuromorphic computing. Non-von Neumann architectures. As I’ve been researching my series on neuromorphic computing, I’ve encountered a lot of new terminology. It hasn’t always been easy to figure out exactly what’s being discussed. This explainer attempts to both clarify the terms used in my own articles and to help others sort through the rapidly growing literature in... » read more

What Happened To ReRAM?

By Mark LaPedus - 21 Sep, 2017 - Comments: 8

Resistive RAM (ReRAM), one of a handful of next-generation memories under development, is finally gaining traction after years of setbacks. Fujitsu and Panasonic are jointly ramping up a second-generation ReRAM device. In addition, Crossbar is sampling a 40nm ReRAM technology, which is being made on a foundry basis by China’s SMIC. And not to be outdone, TSMC and UMC recently put ReRAM on ... » 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

Rethinking Computing Fundamentals

By Ed Sperling - 10 Aug, 2017 - Comments: 0

New compute architectures—not just new chips—are becoming a common theme in Silicon Valley these days. The whole semiconductor industry is racing to find the fastest, cheapest, lowest-power approach to processing. The drivers of this shift are well documented. Moore's Law is slowing down, in part because it's becoming more difficult to route signals across an SoC at the latest process no... » read more

Planes, Birdhouses And Image Recognition

By Katherine Derbyshire - 01 Aug, 2017 - Comments: 0

My recent blog post on the limits of neuromorphic computing took an optimistic view: even neuromorphic systems that are relatively crude by the standards of biological brains can still find commercially important applications. A few days after I finished it, I was reminded that the pessimists are not wrong when a friend of mine shared this image. Fig. 1: Trover Gourds in purple martin nest... » read more

Pessimism, Optimism And Neuromorphic Computing

By Katherine Derbyshire - 20 Jul, 2017 - Comments: 0

As I’ve been researching this series on neuromorphic computing, I’ve learned that there are two views of the field. One, which I’ll call the “optimist” view, often held by computer scientists and electrical engineers, focuses on the possibilities: self-driving cars. Homes that can learn their owners’ needs. Automated medical assistants. The other, the “pessimist” view, often hel... » read more

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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: neuromorphic computing