tag: machine learning

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

A Different View On Debugging
By Hagai Arbel - 01 Jun, 2020 - Comments: 0

The classic approach to improve an engineering task that is becoming too complex due to its size and detail is to raise the abstraction of design representation. In this way we plan cities, build aircraft and plan 500M gate SoCs. For example, there is no way an ASIC design could go beyond a few thousand logic gates without shifting abstraction to the Register Transfer Level (RTL) and leveragin... » read more

FPGA Prototyping Complexity Rising
By Ann Mutschler - 28 May, 2020 - Comments: 0

Multi-FPGA prototyping of ASIC and SoC designs allows verification teams to achieve the highest clock rates among emulation techniques, but setting up the design for prototyping is complicated and challenging. This is where machine learning and other new approaches are beginning to help. The underlying problem is that designs are becoming so large and complex that they have to be partitioned... » read more

What Will The Next-Gen Verification Flow Look Like?
By Ed Sperling - 28 May, 2020 - Comments: 0

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; and Nasr Ullah, senior director of performance architecture at SiFive. What follows are exc... » read more

Powering The Edge
By Arm - 13 May, 2020 - Comments: 0

On-device machine learning (ML) is a phenomenon that has exploded in popularity. Smart devices that are able to make independent decisions, acting on locally generated data, are hailed as the future of compute for consumer devices: on-device processing slashes latency; increases reliability and safety; boosts privacy and security...all while saving on power and cost. Although ML in edge d... » read more

Sensors, Data And Machine Learning
By Ed Sperling - 12 May, 2020 - Comments: 0

Strategies for building reliability into chips and systems are beginning to shift as more sensors are added into these devices and machine learning is applied to that data. In the past, system monitoring relied heavily on MEMS devices for things like acceleration, temperature and positioning (gyroscopes). While those devices are still important, in the past couple years there has been an exp... » read more

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