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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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Artificial intelligence technologies

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Researchers Use Light to Improve AI Computation Speed

Researchers Use Light to Improve AI Computation Speed

With this new method, there could be a much higher rate of transfer between a processor and memory, while also lowering the energy costs.

Written By

Aug 7, 2020

Researchers at George Washington University have published a new approach for artificial intelligence computation optimization, which utilizes light instead of electricity.

According to the paper, published in Applied Physics Reviews, the new method is able to perform two to three orders of magnitude higher than a typical electric tensor processing unit (TPU).

SEE ALSO: How AI is Enabling Pervasive Biosensing

“We found that integrated photonic platforms that integrate efficient optical memory can obtain the same operations as a TPU, but they consume a fraction of the power and have higher throughput,” said assistant research professor, Mario Miscuglio. “When opportunely trained, the processors can be used for performing interference at the speed of light.”

Transmission of data between the processor and memory is considered one of the biggest performance issues. With this new method, there could be a much higher rate of transfer, while also lowering the energy costs.

Academics from all over the world are attempting to reduce the energy costs, while improving the performance, of the hardware that goes into training, testing, and running AI models.

Just this week, the Institute of Theoretical Computer Science at TU Graz unveiled a new optimization model, which aims to run AI models on a millionth of the energy usually dedicated to them.

Whether either of them can be scaled to work with the largest AI models will be the real test.

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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