tag: Cognite Ventures

The Week In Review: Design
By Jesse Allen - 19 Jan, 2018 - Comments: 0

M&A Barco Silex, now named Silex Inside, split from parent company Barco in a management buyout in partnership with a group of private investors lead by Dutch investment company Vehold BV. The company will continue its focus on security, video compression, and interface IP, along with design services. Tools & IP Mentor is making a version of its HyperLynx design rule checking tool ... » read more

The Next Phase Of Machine Learning
By Kevin Fogarty - 09 Nov, 2017 - Comments: 0

Machine learning is all about doing complex calculations on huge volumes of data with increasing efficiency, and with a growing stockpile of success stories it has rapidly evolved from a rather obscure computer science concept into the go-to method for everything from facial recognition technology to autonomous cars. [getkc id="305" kc_name="Machine learning"] can apply to every corporate fu... » read more

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

Using Machine Learning In EDA
By Ann Mutschler - 02 Aug, 2017 - Comments: 0

Machine learning is beginning to have an impact on the EDA tools business, cutting the cost of designs by allowing tools to suggest solutions to common problems that would take design teams weeks or even months to work through. This reduces the cost of designs. It also potentially expands the market for EDA tools, opening the door to even new design starts and more chips from more compan... » read more

Machine Learning Popularity Grows
By Ann Mutschler - 26 Jul, 2017 - Comments: 1

Machine learning and deep learning are showing a sharp growth trajectory in many industries. Even the semiconductor industry, which generally has resisted this technology, is starting to changing its tune. Both [getkc id="305" kc_name="machine learning"] (ML) and deep learning (DL) have been successfully used for image recognition in autonomous driving, speech recognition in natural langua... » read more

The Darker Side Of Machine Learning
By Ann Mutschler - 05 Jul, 2017 - Comments: 0

Machine learning can be used for many purposes, but not all of them are good—or intentional. While much of the work underway is focused on the development of machine learning algorithms, how to train these systems and how to make them run faster and do more, there is a darker side to this technology. Some of that involves groups looking at what else machine learning can be used for. So... » read more

What’s Missing In Deep Learning?
By Ann Mutschler - 12 Jan, 2017 - Comments: 0

It is impossible today to be unaware of deep learning/machine learning/neural networks -- even if what it all entails is not even clear yet. Someone who is intimately familiar with this area, and has some thoughts on this is Chris Rowen, founder of Tensilica (now part of Cadence), who is now a self-described hat juggler. He is still active Cadence several days a month, working technically on... » read more

The Multiplier And The Singularity
By Brian Bailey - 12 Jan, 2017 - Comments: 8

In 1993, Vernor Vinge, a computer scientist and science fiction writer, first described an event called the Singularity—the point when machine intelligence matches and then surpasses human intelligence. And since then, top scientists, engineers and futurists have been asking just how far away we are from that event. In 2006, Ray Kurzweil published a book, "The Singularity is Near," in whic... » read more

Building Chips That Can Learn
By Ed Sperling - 29 Sep, 2016 - Comments: 0

The idea that devices can learn optimal behavior rather than relying on more generalized hardware and software is driving a resurgence in artificial intelligence, machine leaning, and cognitive computing. But architecting, building and testing these kinds of systems will require broad changes that ultimately could impact the entire semiconductor ecosystem. Many of these changes are wel... » read more

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