AI has made incredible recent progress, but voice assistants are still plagued by the rigidity and lack of contextual awareness they launched with years ago. For most, voice remains an interface of last resort, reserved for occasionally pulling up directions or playing a song on a smart speaker.
AI has made incredible recent progress, but voice assistants are still plagued by the rigidity and lack of contextual awareness they launched with years ago. For most, voice remains an interface of last resort, reserved for occasionally pulling up directions or playing a song on a smart speaker.
MIT engineers used a machine-learning model to design nanoparticles that can deliver RNA to cells more efficiently.
Build vs buy in computer vision: discover why no-code platforms like Matroid cut deployment time, trim maintenance, and free engineers for innovation.
This article explores TPU vs GPU differences in architecture, performance, energy efficiency, cost, and practical implementation, helping engineers and designers choose the right accelerator for AI workloads today!
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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.
A detailed engineering reference on performance, signaling, and power differences in current graphics memory standards.
Training AI models is costly, forcing a trade-off between compressing large models or accepting weaker performance from smaller ones trained from scratch.
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AI has made incredible recent progress, but voice assistants are still plagued by the rigidity and lack of contextual awareness they launched with years ago. For most, voice remains an interface of last resort, reserved for occasionally pulling up directions or playing a song on a smart speaker.
7 minutes read
MIT engineers used a machine-learning model to design nanoparticles that can deliver RNA to cells more efficiently.
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
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
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
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
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.
MIT engineers designed a versatile interface that allows users to teach robots new skills in intuitive ways.
