tag: machine learning

Plugging Holes In Machine Learning
By Ed Sperling - 19 Sep, 2016 - Comments: 0

The number of companies using machine learning is accelerating, but so far there are no tools to validate, verify and debug these systems. That presents a problem for the chipmakers and systems companies that increasingly rely on machine learning to optimize their technology because, at least for now, it creates the potential for errors that are extremely difficult to trace and fix. At the s... » read more

What’s Missing From Machine Learning
By Ed Sperling - 01 Sep, 2016 - Comments: 1

Machine learning is everywhere. It's being used to optimize complex chips, balance power and performance inside of data centers, program robots, and to keep expensive electronics updated and operating. What's less obvious, though, is there are no commercially available tools to validate, verify and debug these systems once machines evolve beyond the final specification. The expectation is th... » read more

New Architectures, Approaches To Speed Up Chips
By Ed Sperling - 15 Aug, 2016 - Comments: 2

The need for speed is back. An explosion in the amount of data that needs to be collected and processed is driving a new wave of change in hardware, software and overall system design. After years of emphasizing power reduction, performance has re-emerged as a top concern in a variety of applications such as smarter cars, wearable devices and cloud data centers. But how to get there has cha... » read more

Looking Beyond Technology
By Ed Sperling - 30 Jun, 2016 - Comments: 0

The semiconductor industry is beginning to make real progress in deep learning and artificial intelligence, opening up bigger opportunities across more markets than have ever existed in the history of technology. But before this revolution goes much further, the industry also needs to step back and establish a set of guidelines about how this technology will be used. This is an entirely dif... » read more

Big Data Meets Chip Design
By Ann Mutschler - 16 Jun, 2016 - Comments: 0

The amount of data being handled in chip design is growing significantly at each new node, prompting chipmakers to begin using some of the same concepts, technologies and algorithms used in data centers at companies such as Google, Facebook and GE. While the total data sizes in chip design are still relatively small compared with cloud operations—terabytes per year versus petabytes and exa... » read more

Plotting The Next Semiconductor Road Map
By Ed Sperling - 13 Jun, 2016 - Comments: 0

The semiconductor industry is retrenching around new technologies and markets as Moore's Law becomes harder to sustain and growth rates in smart phones continue to flatten. In the past, it was a sure bet that pushing to the next process node would provide improvements in power, performance and cost. But after 22nm, the economics change due to the need for multi-patterning and finFETs, and th... » read more

DAC Day Three: UVM, Machine Learning And DFT Come Together
By Brian Bailey - 08 Jun, 2016 - Comments: 0

The industry and users have a love/hate relationship with UVM. It has quickly risen to become the most used verification methodology and yet at the same time it is seen as being overly complex, unwieldy and difficult to learn. The third day of DAC gets started with breakfast with Accellera to discuss UVM and what we can expect to see in the next 5 years. The discussion was led by Tom Alsop, pri... » read more

What Cognitive Computing Means For Chip Design
By Ann Mutschler - 30 Mar, 2016 - Comments: 1

Cognitive computing. Artificial intelligence. Machine learning. All of these are concepts aim to make human types of problems computable, whether it be a self-driving car, a health care-providing robot, or a walking and talking assistant robot for the home or office. R&D teams around the world are working to create a whole new world of machines more intelligent than humans. Designing sys... » read more

System Bits: March 29
By Ann Mutschler - 29 Mar, 2016 - Comments: 0

Cryptographic system for controlling app access to data Researchers at MIT and Harvard University are hoping to change the fact that users of smartphones have no idea which data items their apps are collecting, where they’re stored, and if they’re stored securely with an application they’ve developed called Sieve. With Sieve, a Web user would store all personal data, in encrypted form... » read more

Tech Talk: ADAS
By Ed Sperling - 23 Mar, 2016 - Comments: 0

Kurt Shuler, vice president of marketing at Arteris, explains what the Advanced Driver Assistance Systems standard is, where the problems are, and why this is becoming so important in automotive semiconductor design. » read more

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