tag: machine learning

New Roadmap For Electronics
By Ed Sperling - 19 Jul, 2018 - Comments: 0

Tech Talk: Melissa Grupen-Shemansky, CTO for SEMI’s FlexTech Group and Advanced Packaging program, looks at what’s changing now that Moore’s Law is slowing, and how packaging is changing as the traditional physical boundaries of electronics begin breaking down. https://youtu.be/UpH1m8Oru90 » read more

Fabs Meet Machine Learning
By Mark LaPedus - 19 Jul, 2018 - Comments: 2

Aki Fujimura, chief executive of D2S, sat down with Semiconductor Engineering to discuss Moore’s Law and photomask technology. Fujimura also explained how artificial intelligence and machine learning are impacting the IC industry. What follows are excerpts of that conversation. SE: For some time, you’ve said we need more compute power. So we need faster chips at advanced nodes, but cost... » read more

Architecting For AI
By Ann Mutschler - 17 Jul, 2018 - Comments: 0

Semiconductor Engineering sat down to talk about what is needed today to enable artificial intelligence training and inferencing with Manoj Roge, vice president, strategic planning at Achronix; Ty Garibay, CTO at Arteris IP; Chris Rowen, CEO of Babblelabs; David White, distinguished engineer at Cadence; Cheng Wang, senior VP engineering at Flex Logix; and Raik Brinkmann, president and CEO of O... » read more

Five DAC Keynotes
By Brian Bailey - 17 Jul, 2018 - Comments: 0

The ending of Moore's Law may be about to create a new golden age for design, especially one fueled by artificial intelligence and machine learning. But design will become task-, application- and domain-specific, and will require that we think about the lifecycle of the products in a different way. In the future, we also will have to design for augmentation of experience, not just automation... » read more

Five Features Of The ‘Always-On’ Mobile Experience
By Jakub Lamik - 17 Jul, 2018 - Comments: 0

Today’s technology consumers – labeled as the ‘always on, always connected’ generation – are some of the most demanding when it comes to what they expect from their devices for work and play. Not only do consumers want devices that are able to manage their multiple demands on the go – from mobile gaming to video streaming – but they also want devices to work continuously without t... » read more

System Bits: July 16
By Ann Mutschler - 16 Jul, 2018 - Comments: 0

Test tube AI neural network In a significant step towards demonstrating the capacity to program artificial intelligence into synthetic biomolecular circuits, Caltech researchers have developed an artificial neural network made out of DNA that can solve a classic machine learning problem: correctly identifying handwritten numbers. The work was done in the laboratory of Lulu Qian, assistant p... » read more

Preparing For A 5G World
By Ed Sperling - 12 Jul, 2018 - Comments: 0

Semiconductor Engineering sat down to talk about challenges and progress in 5G with Yorgos Koutsoyannopoulos, president and CEO of Helic; Mike Fitton, senior director of strategic planning and business development at Achronix; Sarah Yost, senior product marketing manager at National Instruments; and Arvind Vel, director of product management at ANSYS. What follows are excerpts of that conversat... » read more

System Bits: July 10
By Ann Mutschler - 10 Jul, 2018 - Comments: 0

Foldable electronic switches and sensors Using inexpensive materials, UC Berkeley engineers have created a method to fabricate foldable electronic switches and sensors directly onto paper, along with prototype generators, supercapacitors and other electronic devices for what they said is a range of applications. Besides the fact that it is readily available and low cost, the team pointed ou... » read more

Security Holes In Machine Learning And AI
By Ed Sperling - 09 Jul, 2018 - Comments: 0

Machine learning and AI developers are starting to examine the integrity of training data, which in some cases will be used to train millions or even billions of devices. But this is the beginning of what will become a mammoth effort, because today no one is quite sure how that training data can be corrupted, or what to do about it if it is corrupted. Machine learning, deep learning and arti... » read more

Machine Learning’s Limits
By Ed Sperling - 03 Jul, 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. To view part one, click here. SE: How much of what goes wrong in machine learning depends on the algorithm being wrong... » read more

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