tag: machine learning

Tools To Design CNNs
By Ann Mutschler - 28 Aug, 2017 - Comments: 2

Convolutional neural networks are becoming a mainstay in machine learning and artificial intelligence, allowing a network of distributed sensors to collect data and send them to a central brain for processing. This is a relatively simple idea in comparison to today's technology, and the idea of the [getkc id="261" kc_name="convolutional neural network"] has been around for some time. But bui... » read more

Training As A Strategic Weapon
By Mike Gianfagna - 24 Aug, 2017 - Comments: 0

In my last post, I discussed the topic of applying machine learning to the design of machine learning chips. I pointed out that one can achieve significant improvements in schedule predictability, PPA compliance and an overall reduction in program risk if machine learning is applied to the right kind of knowledge base. This is very real, and we are seeing the benefits of this approach daily. Bu... » read more

Executive Insight: Aart de Geus
By Ed Sperling - 24 Aug, 2017 - Comments: 0

Aart de Geus, chairman and co-CEO of [getentity id="22035" e_name="Synopsys"], sat down with Semiconductor Engineering to discuss machine learning and big data, the race toward autonomous vehicles, systems vs. chips, software vs. hardware, and the future of EDA. What follows are excerpts of that conversation. SE: The whole tech world is buzzing over data and how it gets used in areas such as... » read more

New AI algorithm monitors sleep with radio waves (MIT & Mass General)
By Technical Paper Link - 22 Aug, 2017 - Comments: 0

Source: MIT and Massachusetts General Hospital. Mingmin Zhao, Shichao Yue, Dina Katabi, Tommi Jaakkola, Matt Bianchi Monitoring sleep with AI To make it easier to diagnose and study sleep problems, researchers at MIT and Massachusetts General Hospital have devised a new way to monitor sleep stages without sensors attached to the body by using a device that employs an advanced artific... » read more

Neural Adaptive Video Streaming with Pensieve (MIT-CSAIL)
By Technical Paper Link - 22 Aug, 2017 - Comments: 0

Source:  MIT-CSAIL Hongzi Mao, Ravi Netravali, Mohammad Alizadeh For technical paper link, click here  and MIT's news here Machine-learning system for smoother streaming To combat the frustration of video buffering or pixelation, researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed “Pensieve,” an artificial intelligence system that ... » read more

The Week In Review: Design
By Jesse Allen - 18 Aug, 2017 - Comments: 0

M&A Qualcomm expanded its AI portfolio, acquiring machine learning startup Scyfer B.V., a spinoff of the University of Amsterdam. Founded in 2013, Scyfer has consulted on object classification, defect inspection, and traffic prediction projects across a range of industries. Terms of the deal were not disclosed. Numbers Synopsys released third quarter financial results with revenue of $... » read more

Machine Learning In The Fab
By Ed Sperling - 17 Aug, 2017 - Comments: 0

Machine learning is exploding, especially where there are massive amounts of data to contend with and lots of potential interactions. This leads to two obvious insertion points in the semiconductor field. One is on the design side, where just getting an advanced design to function is an enormous challenge. That challenge increases as the need for reliability in some market increases. It's d... » read more

What’s Changing At BACUS
By Jan Willis - 17 Aug, 2017 - Comments: 0

Jim Wiley, president of SPIE BACUS, talks about this year's merger of the EUV Lithography Symposium and the SPIE Photomask Conference—including what's new and different, the latest updates on the event location, and topics to look forward to such as EUV mask inspection—as well as his predictions on machine learning. https://youtu.be/GNxUmMAU9zs » read more

Applying Machine Learning
By Ann Mutschler - 13 Aug, 2017 - Comments: 0

Sundari Mitra, co-founder and CEO of NetSpeed Systems, sat down with Semiconductor Engineering to discuss machine learning, training algorithms, what customers are struggling with today, and how startups fare in an increasingly consolidated semiconductor industry. What follows are excerpts of that conversation. SE: Machine learning is booming. How will this change design? Mitra: This is a... » read more

System Bits: Aug. 8
By Ann Mutschler - 08 Aug, 2017 - Comments: 0

Improving robot vision, virtual reality, self-driving cars In order to generate information-rich images and video frames that will enable robots to better navigate the world and understand certain aspects of their environment, such as object distance and surface texture, engineers at Stanford University and the University of California San Diego have developed a camera that generates 4D images... » read more

← Older posts Newer posts →

  • Sponsors

About

Navigation

Connect With Us

Copyright ©2013-2026 SMG   |  Terms of Service  |  Privacy Policy