IoT

Related Topics

Connectivity services Industrial IoT Intelligent edge

Top Articles

Hover to load posts
Real-Time Analytics

Related Topics

Decision Automation Real-Time Decisions Stream Processing Streaming analytics, event processing

Top Articles

Hover to load posts
Artificial Intelligence

Related Topics

AIOps Cognitive Computing Deep Learning Expert Systems Generative AI IBM Watson Machine Learning Natural Language Processing Reasonable AI

Top Articles

Hover to load posts
Big Data

Related Topics

Big data analysis tools Big data architectures Big data platforms Data management

Top Articles

Hover to load posts
Industries

Related Topics

Aviation Energy Entertainment / Digital Media Financial Services Healthcare Manufacturing Retail Sales, marketing Shipping / Postal Smart Cities

Top Articles

Hover to load posts
Use cases

Related Topics

Asset performance, production optimization Compliance and Anti-Fraud Computer-aided diagnosis and bioinformatics Crisis Management Customer Experience Management Energy management Financial analysis IT monitoring Medical diagnostics Network and Application Monitoring

Top Articles

Hover to load posts
Reports

Top Articles

Hover to load posts
Resources

Resource Hubs

Open Source for Real-Time Scale Our Resources

Featured Resources

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.
Blockchain Blockchain
Cloud technologies Cloud technologies
Data integration tools Data integration tools
Decision management Decision management
In-memory computing In-memory computing
Intelligent integration and BPM Intelligent integration and BPM
IIC Testbeds IIC Testbeds
Videos Videos

Artificial intelligence technologies

SHARE

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.

Recommended for you...

Agentic AI and the Death of SaaS

Artificial intelligence technologies

Agentic AI and the Death of SaaS

Agentic AI changes where value is created in the software stack. When analysts discuss the “death of SaaS,” they rarely mean that cloud applications will disappear. Instead, they mean the SaaS model may lose its central role in enterprise computing.

Salvatore Salamone

Mar 13, 2026

Domain-Specific LLMs: How to Make AI Useful for Your Business

Artificial intelligence technologies

Domain-Specific LLMs: How to Make AI Useful for Your Business

Domain-specific LLMs are how businesses move from AI curiosity to AI utility where outcomes are measurable, adoption actually sticks, and teams trust what the model tells them.

Mar 11, 2026

Engineering the Agentic Enterprise: Building Smarter, Adaptive, Autonomous Systems

Artificial intelligence technologies

Engineering the Agentic Enterprise: Building Smarter, Adaptive, Autonomous Systems

The transition to a truly agentic enterprise is not merely an IT upgrade. Such a transition is an architectural and philosophical metamorphosis. The organizations that scale with confidence are those that recognize this early.

Mar 10, 2026

The AI That Actually Scales Is Boring. That’s the Point.

Artificial intelligence technologies

The AI That Actually Scales Is Boring. That’s the Point.

Boring AI earns trust because it works. It removes friction from daily tasks, and over time, that trust becomes the foundation for more ambitious systems.

Mar 9, 2026

Featured Resources from Cloud Data Insights

Agentic AI and the Death of SaaS

Artificial intelligence technologies

Agentic AI and the Death of SaaS

Agentic AI changes where value is created in the software stack. When analysts discuss the “death of SaaS,” they rarely mean that cloud applications will disappear. Instead, they mean the SaaS model may lose its central role in enterprise computing.

Salvatore Salamone

Mar 13, 2026

The Business Case for a Unified Semantic Layer

Big data architectures

The Business Case for a Unified Semantic Layer

A unified semantic layer standardizes business definitions across systems, creating a shared contract for how metrics are defined, documented, and governed. That contract applies to dashboards, notebooks, APIs, and AI systems alike.

Mar 12, 2026

Domain-Specific LLMs: How to Make AI Useful for Your Business

Artificial intelligence technologies

Domain-Specific LLMs: How to Make AI Useful for Your Business

Domain-specific LLMs are how businesses move from AI curiosity to AI utility where outcomes are measurable, adoption actually sticks, and teams trust what the model tells them.

Mar 11, 2026

Engineering the Agentic Enterprise: Building Smarter, Adaptive, Autonomous Systems

Artificial intelligence technologies

Engineering the Agentic Enterprise: Building Smarter, Adaptive, Autonomous Systems

The transition to a truly agentic enterprise is not merely an IT upgrade. Such a transition is an architectural and philosophical metamorphosis. The organizations that scale with confidence are those that recognize this early.

Mar 10, 2026

Analysis and market insights on real-time analytics including Big Data, the IoT, and cognitive computing. Business use cases and technologies are discussed.

Company

About us Contact us Our Team Engage with Us Write for us Brain Trust

Categories

IoT Real-Time Analytics Artificial Intelligence Big Data Industries Use cases Reports Resources

Property of TechnologyAdvice. © 2026 TechnologyAdvice. All Rights Reserved

Advertiser Disclosure: Some of the products that appear on this site are from companies from which TechnologyAdvice receives compensation. This compensation may impact how and where products appear on this site including, for example, the order in which they appear. TechnologyAdvice does not include all companies or all types of products available in the marketplace.

Terms of Service Privacy Policy California - Do Not Sell My Information