A deep dive into the convergence of generative AI and edge computing.
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A.I.
Latest Posts
MIT engineers used a machine-learning model to design nanoparticles that can deliver RNA to cells more efficiently.
Meta Description: Build vs buy in computer vision: discover why no-code platforms like Matroid cut deployment time, trim maintenance, and free engineers for innovation.
High frequency radio waves can wirelessly carry the vast amount of data demanded by emerging technology like virtual reality, but as engineers push into the upper reaches of the radio spectrum, they are hitting walls. Literally.
4 minutes read
The team used two different AI approaches to design novel antibiotics, including one that showed promise against MRSA.
While outdoor navigation using GPS technology is seamlessly integrated into everyday life, effective indoor navigation still presents a challenge. GPS signals are typically weaker or even non-existent inside large buildings, shopping malls, hospitals, airports, and industrial complexes.
3 minutes read
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".
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.
3 minutes read
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.
3 minutes read
Researchers blend theoretical insight and precision experiments to entangle photons on an ultra-thin chip
3 minutes read
