Machine Learning’s Limits (Part 1)

By Ed Sperling - 07 Jun, 2018 - Comments: 0

Semiconductor Engineering sat down with Rob Aitken, an Arm fellow; Raik Brinkmann, CEO of OneSpin Solutions; Patrick Soheili, vice president of business and corporate development at eSilicon; and Chris Rowen, CEO of Babblelabs. What follows are excerpts of that conversation. SE: Where are we with machine learning? What problems still have to be resolved? Aitken: We're in a state where thi... » read more

Toward Autonomous Farming

By Ann Mutschler - 03 May, 2018 - Comments: 0

While the automotive industry works diligently towards self-driving vehicles, it's possible the carrots you've eaten recently were semi-autonomously planted and harvested with Case IH equipment by Bolthouse Farms, one of the largest carrot growers in the United States. And the U.S. is hardly alone. Autonomous agriculture is coming everywhere, and it's happening much faster than autonomous ca... » read more

Robots Get Social

By Elizabeth Pavel - 18 Jan, 2018 - Comments: 0

From Star Trek’s Data to Star Wars’ C-3PO, the idea of humanoid robots has fascinated people for years. Back in the real world, robots build automobiles in factories, mow lawns, and even assist in complex heart surgery. Meanwhile, the use of androids like Data is approaching reality, as semiconductor and semiconductor-related devices like low-power microprocessors, 3D sensors, accelerometer... » read more

Turning Down The Power

By Jeff Dorsch - 11 Jan, 2018 - Comments: 0

Chip and system designers are giving greater weight to power issues these days. But will they inevitably hit a wall in accounting for ultra-low-power considerations? Performance, power, and area are the traditional attributes in chip design. Area was originally the main priority, with feature sizes constantly shrinking according to Moore's Law. Performance was in the saddle for many years. M... » read more

Deep Learning Robust Grasps with Synthetic Point Clouds & Analytic Grasp Metrics (UC Berkeley)

By Technical Paper Link - 28 Jun, 2017 - Comments: 0

Source: The research was the work of Jeffrey Mahler, Jacky Liang, Sherdil Niyaz, Michael Laskey, Richard Doan, Xinyu Liu, Juan Aparicio Ojea, and Ken Goldberg with support from the AUTOLAB team at UC Berkeley. Nimble-fingered robots enabled by deep learning Grabbing awkwardly shaped items that humans regularly pick up daily is not so easy for robots, as they don’t know where to apply grip... » read more

Even good bots fight: The case of Wikipedia (Oxford & Alan Turing Institute)

By Technical Paper Link - 06 Mar, 2017 - Comments: 0

Source: University Of Oxford published via PLOS ONE, Milena Tsvetkova, Ruth García-Gavilanes, Luciano Floridi, Taha Yasseri "The research paper, published in PLOS ONE, concludes that bots are more like humans than you might expect as they appear to behave differently in culturally distinct online environments. The paper says the findings are a warning to those using artificial intelligence ... » read more

We’re All Beta Testers Now

By Ed Sperling - 01 Sep, 2016 - Comments: 0

There are two distinct camps forming around autonomous vehicles. One group wants to see self-driving cars on the road as quickly as possible because it will save more lives than if people are behind the wheel. Others are wary, insisting there is no way will this can or should happen in the next 10 to 15 years. Time will tell who's right. But what is clear is that the technology has far outst... » read more

System Bits: May 10

By Ann Mutschler - 10 May, 2016 - Comments: 0

Topological insulators In a finding that could open up a new pathway to advanced electronic devices and even robust quantum computer architecture, researchers from MIT; Oak Ridge, and Argonne National Laboratories; the Institute for Theoretical Physics in Bochum, Germany; the Institute for Theoretical Solid State Physics in Dresden; the Ecole Normale Superieure in Paris; and the Institute of N... » read more

System Bits: March 15

By Ann Mutschler - 15 Mar, 2016 - Comments: 0

Drilling into metabolic details with big data In a development that may help researchers find new therapeutic targets for cancer and other diseases, Rice University researchers have created a fast computational method to model tissue-specific metabolic pathways. The team explained that metabolic pathways are immense networks of biochemical reactions that keep organisms functioning and are a... » read more

Prototyping To Help You Win The Battle

By Tom De Schutter - 30 Jul, 2015 - Comments: 0

Lately, my children and I are closely following a new show on ABC called “Battlebots”. The concept is as simple as it is cool—have a massive bulletproof arena where two remote-controlled robots battle it out until one is knocked out or the time is up (and a jury decides the winner). The battles are all about making physical contact with the other robot to either directly deal them damage ... » 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: Robots