tag: machine learning

ML Opening New Doors For FPGAs
By Bryon Moyer - 24 Jun, 2020 - Comments: 0

FPGAs have long been used in the early stages of any new digital technology, given their utility for prototyping and rapid evolution. But with machine learning, FPGAs are showing benefits beyond those of more conventional solutions. This opens up a hot new market for FPGAs, which traditionally have been hard to sustain in high-volume production due to pricing, and hard to use for battery-dri... » read more

Using ML In Manufacturing
By Ed Sperling - 23 Jun, 2020 - Comments: 0

How to prevent early life failures by applying machine learning to different use cases, and how to interpret models for different tradeoffs on reliability. Jeff David, vice president of AI solutions at PDF Solutions, digs down into how to utilize data to improve reliability. » read more

Simplifying And Speeding Up Verification
By Ed Sperling - 16 Jun, 2020 - Comments: 1

Semiconductor Engineering sat down to discuss what's ahead for verification with Daniel Schostak, Arm fellow and verification architect; Ty Garibay, vice president of hardware engineering at Mythic; Balachandran Rajendran, CTO at Dell EMC; Saad Godil, director of applied deep learning research at Nvidia; Nasr Ullah, senior director of performance architecture at SiFive. What follows are excerpt... » read more

New Approaches For Dealing With Thermal Problems
By Ann Mutschler - 11 Jun, 2020 - Comments: 0

New thermal monitoring, simulation and analysis techniques are beginning to coalesce in chips developed at leading-edge nodes and in advanced packages in order to keep those devices running at optimal temperatures. This is particularly important in applications such as AI, automotive, data centers and 5G. Heat can kill a chip, but it also can cause more subtle effects such as premature aging... » read more

Fundamental Changes In Economics Of Chip Security
By Ed Sperling - 10 Jun, 2020 - Comments: 0

Protecting chips from cyberattacks is becoming more difficult, more expensive and much more resource-intensive, but it also is becoming increasingly necessary as some of those chips end up in mission-critical servers and in safety-critical applications such as automotive. Security has been on the semiconductor industry's radar for at least the past several years, despite spotty progress and ... » read more

Liability And Reliability
By Ed Sperling - 09 Jun, 2020 - Comments: 0

As systems vendors accelerate the development of their own architectures, semiconductor companies across the supply chain are getting a seat at the table for architecting the engines in those systems. Rather than competing for a socket, they are directly involved in strategizing the optimal solution that can make a systems vendor or OEM more competitive or far more efficient. That gives the dev... » read more

Using Fab Sensors To Reduce Auto Defects
By Anne Meixner - 09 Jun, 2020 - Comments: 0

The semiconductor manufacturing ecosystem has begun collaborating on ways to effectively use wafer data to meet the stringent quality and reliability requirements for automotive ICs. Silicon manufacturing companies are now leveraging equipment and inspection monitors to proactively identify impactful defects prior to electrical test. Using machine learning techniques, they combine the monitor ... » read more

AI Drives A New Wave For Semiconductors
By Paul McLellan - 04 Jun, 2020 - Comments: 0

In Cadence's recent earnings call, Lip-Bu Tan, our CEO, talked about the five waves that are hitting us simultaneously. Here's what he said: First of all, I'm excited about this industry, because it's very unusual to have five major waves happening at the same time. You have the AI machine learning wave and you have 5G is starting to deploy and then you have the hyperscale guy, the really mas... » read more

Conflicting Demands At The Edge
By Ed Sperling - 04 Jun, 2020 - Comments: 0

Semiconductor Engineering sat down to define what the edge will look like with Jeff DeAngelis, managing director of the Industrial and Healthcare Business Unit at Maxim Integrated; Norman Chang, chief technologist at Ansys; Andrew Grant, senior director of artificial intelligence at Imagination Technologies; Thomas Ensergueix, senior director of the automotive and IoT line of business at Arm; V... » read more

(Artificially) Intelligent Verification
By Brian Bailey - 01 Jun, 2020 - Comments: 1

Functional verification produces a lot of data, , but does that make it suitable for Artificial Intelligence (AI) or Machine Learning (ML)? Experts weigh in about where and how AI can help and what the industry could do to improve the benefits. "It's not necessarily the quantity," says Harry Foster, chief scientist for verification at Mentor, a Siemens Business. "It's the quality that matter... » read more

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