Artificial intelligence (AI) is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making
Be the first to know.
Get our A.I. weekly email digest.
Category
A.I.
Engineers Wiki. Most Asked Questions.
Comprehensive Guide
TPU vs GPU: Comprehensive Technical Comparison
By Umar Waseem.
14 minutes read.
What is High Bandwidth Memory 3 (HBM3): Complete Engineering Guide 2025
By Umar Waseem.
15 minutes read.
HBM Memory: Complete Engineering Guide & Design Optimization 2025
By Umar Waseem.
14 minutes read.
View more
ORGANIZATIONS. SHAPING THE INDUSTRY.
The Next Byte
Entertainment
The Next Byte Podcast is hosted by two young engineers - Daniel and Farbod - who select the most interesting tech/engineering cont...
165 Posts
High Tech Campus Eindhoven
High Tech
High Tech Campus Eindhoven is Europe's smartest square km and has the ultim...
49 Posts
ETH Zurich
University for science and technology
Freedom and individual responsibility, entrepreneurial spirit and open-min...
43 Posts
View more
TAGGED WITH machine learning
The virtual VideoCAD tool could boost designers' productivity and help train engineers learning computer-aided design.
In large-scale warehousing and distribution operations, conveyor belts are an essential infrastructure that must operate with near-zero downtime to ensure the timely delivery of products. The presence of loose or foreign items on a conveyor belt can pose a serious risk to these operations.
To reduce waste, the Refashion program helps users create outlines for adaptable clothing, such as pants that can be reconfigured into a dress. Each component of these pieces can be replaced, rearranged, or restyled.
Smart eyewear promises to transform how we see and interact with the world. Among its many potential advantages, the technology offers hands-free access to information, vision enhancement, and accessibility tools.
TAGGED WITH computer vision
Matroid builds no-code computer-vision detectors that can spot everything from microscopic material defects to real-time safety hazards on a factory floor.
In large-scale warehousing and distribution operations, conveyor belts are an essential infrastructure that must operate with near-zero downtime to ensure the timely delivery of products. The presence of loose or foreign items on a conveyor belt can pose a serious risk to these operations.
In this post, we'll walk through how to evaluate that progress using the same metrics our platform provides automatically, so you can build detectors that get smarter, sharper, and more reliable over time.
The no-code platform from Matroid trains ordinary cameras to act like expert inspectors, turning simple footage into a pixel-level defect checklist. Even a handheld GoPro can spot issues human eyes miss—using remarkably small datasets.
Latest Posts
MIT engineers used a machine-learning model to design nanoparticles that can deliver RNA to cells more efficiently.
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
Neural Jacobian Fields, developed by MIT CSAIL researchers, can learn to control any robot from a single camera, without any other sensors.
