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Link to Best Practices for Deploying and Scaling Industrial AI

Best Practices for Deploying and Scaling Industrial AI

Artificial Intelligence (AI) is transforming industrial operations, helping organizations optimize workflows, reduce downtime, and enhance productivity. Different industry verticals leverage AI in unique ways.

Link to The Center for Adaptive Edge Intelligence

The Center for Adaptive Edge Intelligence

Adaptive edge intelligence brings real-time decision-making to the point of data creation, whether from sensors, machines, or cameras.

Link to The Value of Vehicle Electrification

The Value of Vehicle Electrification

Electric vehicles (EVs) present automakers with many design, engineering, and manufactu ring challenges.

Link to Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Digital transformation is empowering industrial organizations to deliver sustainable innovation, disruption-proof products and services, and continuous operational improvement.

Link to Smart Manufacturing for Automotive

Smart Manufacturing for Automotive

Leading a transportation revolution in autonomous, electric, shared mobility and connectivity with the next generation of design and development tools.

Link to Center for Data Pipeline Automation

Center for Data Pipeline Automation

As businesses become data-driven and rely more heavily on analytics to operate, getting high-quality, trusted data to the right data user at the right time is essential.

Link to Center for Automated Integration

Center for Automated Integration

The goal of automated integration is to enable applications and systems that were built separately to easily share data and work together, resulting in new capabilities and efficiencies that cut costs, uncover insights, and much more.

Link to Continuous Intelligence: Insights

Continuous Intelligence: Insights

Digital transformation requires continuous intelligence (CI). Today’s digital businesses are leveraging this new category of software which includes real-time analytics and insights from a single, cloud-native platform across multiple use cases to speed decision-making, and drive world-class customer experiences.
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Deep Learning Tool Spots Bugs In New Software Hours After Launch

Deep Learning Tool Spots Bugs In New Software Hours After Launch

Virus bug in program code concept

Many organizations already pay users to inform them of day-zero bugs, this new tool could save them a lot of time and money.

Written By

Mar 16, 2020

Almost every update by an operating system provider inevitably comes with new bugs. The recent Windows 10 update, published by Microsoft earlier this week, significantly slowed PC boot time.

While most software developers test updates well in advance, publishing it to millions of different machines can lead to significant differences in how the software performs.

SEE ALSO: Deep Learning AI Accurately Identifies Sleep Disorders

To help ascertain if there are issues with an update quicker, researchers at Texas A&M University, in collaboration with Intel Labs, have developed a deep learning model that finds performance bugs in a matter of hours, instead of days.

“Updating software can sometimes turn on you when errors creep in and cause slowdowns. This problem is even more exaggerated for companies that use large-scale software systems that are continuously evolving,” said Abdullah Muzahid, assistant professor of computer science and engineering at Texas A&M. “We have designed a convenient tool for diagnosing performance regressions that is compatible with a whole range of software and programming languages, expanding its usefulness tremendously.”

Due to the wide range of performance counters, it is difficult for even multiple staff members to notice issues on a global scale. That is where deep learning has an advantage, able to sift through millions of counters, spot patterns and inform the developers of any issues.

With this, developers may be able to patch an update before users recognize the issue. Many organizations already pay users to inform them of day-zero bugs, this new tool could save them a lot of time and money.

David Curry

David is a technology writer with several years experience covering all aspects of IoT, from technology to networks to security.

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