Follow The Data


What does antitrust mean in the age of data? Data is in many cases gathered for free and has huge value to those who can turn that data into information and make decisions based on it. Amazon has become an example in retail because they see more sales data than any other retailer – not just what they sell, but what others choose to sell on their platform. Amazon gets to see all the data an... » read more

The Data Deluge


Lip-Bu Tan, president and CEO of Cadence, sat down with Semiconductor Engineering to discuss the intersection of big data and technology, from the data center to the edge and vertical markets such as automotive. What follows are excerpts of that conversation. SE: What are the biggest changes you've seen over the past year? Tan: We are moving quickly toward data-driven economics. There... » read more

Data Vs. Physics


The surge of data from nearly ubiquitous arrays of sensors is changing the dynamics of where and how that data is processed. There is simply too much data to send everything to a centralized processing facility in the cloud, and even 5G won't provide enough bandwidth to handle all of this data. This has big implications on a much broader scale. Data is valuable. And while clean data is more ... » read more

IoT Merging Into Data-Driven Design


The Internet of Things is becoming more difficult to define and utilize for an effective business strategy. While an increasing number devices send data to the cloud or some local server, so much data is being generated and moved around that new strategies are being developed to rethink what needs to be processed where. Back in 2013, when the IoT concept really began taking off, connectivity... » read more

Debug Tops Verification Tasks


Verification engineers are spending an increased percentage of their time in debug — 44%, according to a recent survey by the Wilson Research Group. There are a variety or reasons for this, including the fact that some SoCs are composed of hundreds of internally developed and externally purchased IP blocks and subsystems. New system architectures contribute to the mix, some of which are be... » read more

Building Security into the Smart Home Devices with a Hardware Root of Trust


The growth in the semiconductor industry over the past years has been driven heavily by the storage and compute needs on smartphones, computers, servers and data centers. These conventional drivers are set to change. New-age technologies like big data, artificial intelligence (AI) and the Internet of Things (IoT) will fuel the demand for the future growth in semiconductors. Not only is IoT assi... » read more

The Big Data Shift Has Started


Terry Brewer, president and CEO of Brewer Science, sat down with Semiconductor Engineering to talk about different priorities for private and public companies, why AI completely changes the game for technology companies, and what impact materials will have on innovation and design in the future. SE: What are the next big opportunities for Brewer Science? Brewer: There are broad opportunit... » read more

Carmakers To Chipmakers: Where’s The Data?


The integration of electronics into increasingly autonomous vehicles isn't going nearly as smoothly as the marketing literature suggests. In fact, it could take years before some of these discrepancies are resolved. The push toward full autonomy certainly hasn't slowed down, but carmakers and the electronics industry are approaching that goal from very different vantage points. Carmakers and... » read more

Adding AI To The IoT


The Internet of Things is about to undergo a radical change, fueled by vast number of things coupled with an almost pervasive presence of AI. The IoT today encompasses a long list of vertical markets, all of them connected to the Internet but not necessarily to each other. The concept of the IoT really began taking off in 2015, when a combination of data analytics, high-speed, affordable and... » read more

Using AI In Chip Manufacturing


David Fried, CTO at Coventor, a Lam Research Company, sat down with Semiconductor Engineering to talk about how AI and Big Data techniques will be used to improve yield and quality in chip manufacturing. What follows are excerpts of that conversation. SE: We used to think about manufacturing data in terms of outliers, but as tolerances become tighter at each new node that data may need to b... » read more

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