The Guide to Understanding the Technologies Defining the Next Phase of Edge AI
In this episode, we talk about why we are going back to the Saturn system with NASA’s Dragonfly mission, how MIT PhD student’s AI Algorithm could expedite the drug that could cure duchenne muscular dystrophy, and a Cornell professors invention that can track your facial features throughout the day.
MIT researchers employ machine learning to find powerful peptides that could improve a gene therapy drug for Duchenne muscular dystrophy.
In this episode, we talk about how TUM researchers are trying to model the effects of climate change on forest fires using a neural network, why robots assisting with getting dressed is more challenging than it seems, how drones are being used to evacuate elderly in nursing homes during emergencies.
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
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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.
This new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput.
A team that included Chongzie Zhang from McKelvey Engineering developed a method that allows robots to teach other robots with different features to perform the same task.
New AI system lets robots work faster than their human teachers without sacrificing accuracy.
The AI-powered tool could inform the design of better sensors and cameras for robots or autonomous vehicles.
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.
In this episode, we talk about why we are going back to the Saturn system with NASA’s Dragonfly mission, how MIT PhD student’s AI Algorithm could expedite the drug that could cure duchenne muscular dystrophy, and a Cornell professors invention that can track your facial features throughout the day.
2 minutes read
MIT researchers employ machine learning to find powerful peptides that could improve a gene therapy drug for Duchenne muscular dystrophy.
In this episode, we talk about how TUM researchers are trying to model the effects of climate change on forest fires using a neural network, why robots assisting with getting dressed is more challenging than it seems, how drones are being used to evacuate elderly in nursing homes during emergencies.
2 minutes read
In this episode, we talk about a research out of Stanford University shedding light on the effectiveness of AI policing social media, How studying Marsquakes is providing valuable insight regarding the red planet’s origin, an EPFL effort to prevent lead leakage from solar cells using phosphate salts
2 minutes read
The University of Ostrava developed an application to automate the search for unknown objects within a large database using point clouds acquired from the 3D vision from Photoneo.
Photoneo 3D vision is used for dynamic generation of robot trajectory to navigate a robot in automated pressure washing of trailer tanks and lorries.
Let's take the well-known sea-rescuer, the dolphin, for example. Dolphin’s sensorium is more intended for the search of biological objects under water by use echolocation. At the same time, the military prefer to use dolphins to find metal objects (mines) rather than search & rescue drowning people
French manufacturing companies exist in a constantly changing economic sector. In order to better respond to their customers’ requirements and market pressures, they have to demonstrate innovation and a readiness to invest in factory modernization.
3 minutes read
The JAMK University of Applied Sciences uses Photoneo PhoXi 3D Scanner and Bin Picking Studio to test bin picking for external companies and their specific applications.
In this episode, we talk about how MIT has built a magic carpet to avoid privacy concerns with human body tracking, an initiative from Texas A&M to track nanoparticles in produce, and the novel approach from Carnegie Mellon to turn household items into sensors.
A short guide to the technologies behind the next agricultural revolution.
In this episode, we talk about a new machine learning model developed by NIST to predict flashover in burning buildings and protect firefighters, NASA’s new ultrasonic additive manufacturing approach, and an affordable, high performance athletic prosthetic.
AI on its own is not a Unique Selling Point but a commodity. Defining your use cases and applying AI in a smart way is what sets you apart from the rest. Your domain knowledge is what distinguishes you from your competitors.
5 minutes read
Columbia Engineering researchers use AI to teach robots to make appropriate reactive human facial expressions, an ability that could build trust between humans and their robotic co-workers and care-givers
In this episode, we talk about the injectable microchip from Columbia University along with its applications in clinical settings, a global effort to develop two dimensional transistors, and a NASA Pathways Intern who created an AI powered system capable of detecting spacecraft failures.
