tag: neural networks

Power/Performance Bits: Aug. 21
By Jesse Allen - 21 Aug, 2018 - Comments: 0

Physical neural network Engineers at UCLA built a physical artificial neural network capable of identifying objects as light passes through a series of 3D printed polymer layers. Called a "diffractive deep neural network," it uses the light bouncing from the object itself to identify that object, a process that consumes no energy and is faster than traditional computer-based methods of imag... » read more

Impact Of IP On AI SoCs
By Ron Lowman - 09 Aug, 2018 - Comments: 2

The combination of mathematics and processing capability has set in motion a new generation of technology advancements with an entire new world of possibilities related to Artificial Intelligence. AI mimics human behavior using deep learning algorithms. Neural networks are what we define as deep learning, which is a subset of machine learning, which is yet a subset of AI, as shown in Figure 1. ... » read more

AI, ML Chip Choices
By Ed Sperling - 07 Aug, 2018 - Comments: 0

Flex Logix’s Cheng Wang talks about which types of chips work best for neural networks, AI and machine learning. https://youtu.be/k7OdP7B10o8 » read more

Power/Performance Bits: Aug. 7
By Jesse Allen - 07 Aug, 2018 - Comments: 0

Optical neural network Researchers at the National Institute of Standards and Technology (NIST) have made a silicon chip that distributes optical signals precisely across a miniature brain-like grid, showcasing a potential new design for neural networks. Using light would eliminate interference due to electrical charge and the signals would travel faster and farther, said the researchers. "... » read more

Artificial Intelligence Chips: Past, Present and Future
By Ty Garibay - 02 Aug, 2018 - Comments: 0

Artificial Intelligence (AI) is much in the news these days. AI is making medical diagnoses, synthesizing new chemicals, identifying the faces of criminals in a huge crowd, driving cars, and even creating new works of art. Sometimes it seems as if there is nothing that AI cannot do and that we will all soon be out of our jobs, watching the AIs do everything for us. To understand the origins ... » read more

Power/Performance Bits: July 31
By Jesse Allen - 31 Jul, 2018 - Comments: 0

Training optical neural networks Researchers from Stanford University used an optical chip to train an artificial neural network, a step that could lead to faster, more efficient AI tasks. Although optical neural networks have been recently demonstrated, the training step was performed using a model on a traditional digital computer and the final settings were then imported into the optical... » read more

Where ML Works Best
By Ed Sperling - 26 Jul, 2018 - Comments: 0

Anirudh Devgan, president of Cadence, sat down with Semiconductor Engineering to discuss machine learning inside and outside of EDA tools and how that will affect the future of chip and system design. What follows are excerpts of that discussion. SE: How do you see the market and use of machine learning shaping up? Devgan: There are three main areas—machine learning inside, machine lear... » read more

Synthesizing Computer Vision Designs To Hardware
By Mike Fingeroff - 26 Jul, 2018 - Comments: 0

Computer vision is one of the hottest markets in electronic design today. Digital processing of images and video with complex algorithms in order to interpret meaning has almost as many applications and markets as there are uses for the human eye. The biggest problem that designers face is that the computer vision system requirements and algorithms change quickly and often. Even the targ... » 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

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

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