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In this episode, we explore how AI-powered eco-driving—smartly adjusting vehicle speeds to minimize stops and unnecessary acceleration—can reduce carbon emissions at city intersections by 11 to 22 percent.
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In this episode, we explore how AI-powered eco-driving—smartly adjusting vehicle speeds to minimize stops and unnecessary acceleration—can reduce carbon emissions at city intersections by 11 to 22 percent.
Featured
Storage systems from Cloudian, co-founded by an MIT alumnus, are helping businesses feed data-hungry AI models and agents at scale.
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Open ad-hoc categorization approach combines language guidance with visual clustering to learn contextualized features for flexible image interpretation.
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TAGGED WITH machine learning
Understanding industrial vision systems by examining their components, imaging fundamentals, AI integration since 2020, and how to choose the right solution for every application.
Explore the rise of intelligent EV hardware and how real-time processing, ML acceleration, and hardware virtualization are enabling safer, smarter, software-defined electric vehicles.
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Training AI models is costly, forcing a trade-off between compressing large models or accepting weaker performance from smaller ones trained from scratch.
TAGGED WITH computer vision
EPFL researchers are developing AI models that could one day enable vision prosthetics able to restore meaningful, object-level sight for the blind.
A deep-dive listicle guiding controls, automation, and quality engineers toward the best vision systems for manufacturing applications in 2026.
Understanding industrial vision systems by examining their components, imaging fundamentals, AI integration since 2020, and how to choose the right solution for every application.
The AI-powered tool could inform the design of better sensors and cameras for robots or autonomous vehicles.
Latest Posts
In this episode, we explore how AI-powered eco-driving—smartly adjusting vehicle speeds to minimize stops and unnecessary acceleration—can reduce carbon emissions at city intersections by 11 to 22 percent.
13 minutes read
Storage systems from Cloudian, co-founded by an MIT alumnus, are helping businesses feed data-hungry AI models and agents at scale.
Open ad-hoc categorization approach combines language guidance with visual clustering to learn contextualized features for flexible image interpretation.
4 minutes read
New research shows automatically controlling vehicle speeds to mitigate traffic at intersections can cut carbon emissions between 11 and 22 percent.
Artificial intelligence shows researchers that pollution increases may be more likely following natural hazards.
3 minutes read
To bring AI into the real world, we often need a "bridge" to close the gap between those giant machines and the cameras and robot arms on the production line. At Matroid, we call these "AI Edge Compute Units".
event | SEP 23 - SEP 24, 2025
Join industry leaders to discover the latest in Edge, IoT, LoRaWAN, Cellular IoT, AI at the edge, and energy harvesting.
Outdoor robots operate in unpredictable terrain, shifting weather, and continuous workloads. Reliable navigation requires precise visual processing enabled by seamlessly integrated compute and vision systems.
Drs. Linda Katehi and Jian Tao are developing digital twin technology to create customizable, AI-powered sensor systems that can be built faster, more affordably and with better performance.
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EPFL researchers are developing robotic beehive frames that help locate honey stores inside of beehives over time, without relying on cameras. The aim is to develop new observation tools to study honeybee behavior that better fit the bees' natural way to occupy space compared to current methods.
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Researchers blend theoretical insight and precision experiments to entangle photons on an ultra-thin chip
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Neural Jacobian Fields, developed by MIT CSAIL researchers, can learn to control any robot from a single camera, without any other sensors.
Did you miss ATCx AI for Engineers 2025? Catch up on key insights, real-world AI use cases, and how the event showcased AI's growing role in transforming engineering workflows, design, and smart manufacturing.
Researchers are shortcutting complex equations with AI, paving the way for engineering and scientific breakthroughs.
The CodeSteer system could boost large language models' accuracy when solving complex problems, such as scheduling shipments in a supply chain.
