Here Come The Economists


Big data is undergoing some big changes. For years, the challenge was getting enough good data to create models for everything from Wall Street trends to traffic routing. But with an influx of data from billions of sensors and electronic transactions, data is no longer in short supply. In fact, there is so much data pouring in that companies need to figure out what to do with it. That requi... » read more

3D Metal Printing: Does It Add Up?


Prolific Renaissance artist Michelangelo said, “The sculpture is already complete within the marble block before I start my work. ... I just have to chisel away the superfluous material.” I wonder what the great visionary would think of exchanging his chisel for an additive-manufacturing tool such as today’s 3D printers. 3D printing has been around since the 1980s, when it was first kn... » read more

Breakthrough For Scan Diagnosis With Machine Learning


Cell-aware diagnosis is a new and effective way to detect defects inside standard cells. Industry standard failure analysis (FA) results from a major foundry show that cell-aware diagnosis is very effective at increasing the resolution of the diagnosis by reducing the number of suspects in cell-internal defect data. With advanced technology nodes, we have more complex layout structures and f... » read more

A Different Approach To Failure Analysis


Decapsulation of plastic IC packages in different types and size were performed by wet chemical technique. Studied devices were to use in satellites and going to subject a series of test which require the die to be exposed. Different package types with changing sizes and bonding types such as Au- and Cu-bonded packages for unmounted and PCBA-mount components were successfully achieved. A combin... » read more

Data Sharing And Digital Threads


Electronics and the components that power them are more complex and advanced than ever. With these products an integral part of our daily lives, their reliability has become nothing less than mission-critical. As the demand for components accelerates, it is important that quality is not compromised under the pressure to meet quantity requirements. Otherwise we’re going to be seeing a lot of r... » read more

Modernizing Test In Aerospace And Defense


These days, you can’t attend a conference or have a conversation with leaders of the aerospace and defense community without touching on the modernization of the sector. This includes the integration of new technologies and processes to address aging equipment and fleets. The scale of the challenges in this space is too large, the costs are too high, and the impact of failure is too great to ... » read more

Preparing For War On The Edge


War clouds are gathering over the edge of the network. The rush by the reigning giants of data—IBM, Amazon, Facebook, Alibaba, Baidu, Microsoft and Apple—to control the cloud by building mammoth hyperscale data centers  is being met with uncertainty at the edge of the network. In fact, just the emergence of the edge could mean that all bets are off when it comes to data dominance. It... » read more

How To Manage DFT For AI Chips


Semiconductor companies are racing to develop AI-specific chips to meet the rapidly growing compute requirements for artificial intelligence (AI) systems. AI chips from companies like Graphcore and Mythic are ASICs based on the novel, massively parallel architectures that maximize data processing capabilities for AI workloads. Others, like Intel, Nvidia, and AMD, are optimizing existing archite... » read more

How Do I Know? A Machine Told Me So


More than 375 years ago, René Descartes wrote “I think, therefore I am.” And “Think” has been a slogan used by no less a technology giant than IBM for more than a century. The thought process has been a defining aspect of humanity since our beginning. But now technologists are working to imbue that capability into machines through artificial intelligence. Programming computers is no... » read more

New Battleground In The Data Race


For the past couple years, giant commercial data centers have been grabbing as much data as possible. The big question now is whether that investment will pay off. Companies such as AWS, Google, Microsoft, Alibaba and Baidu are not necessarily the best equipped to leverage that data—or at least not yet. In fact, most of what they've been focusing on is a narrow slice of the data being coll... » read more

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