TechCrunch
JULY 14, 2021
One small company that stepped into the fray of swab production was the two-year-old OPT Industries, a Massachusetts-based company with 15 employees involved in additive manufacturing (think 3D printing) of dense microfiber structures. While the pandemic is still a global disaster, the vaccines have changed the game when it comes to testing.
TechCrunch
JULY 7, 2022
It’s a long road taking an idea from the R&D stage in a lab to successful commercialization, especially when you’re talking about technologies as complex and costly as robotics and artificial intelligence. She has held senior roles at General Dynamics and other defense contractors.
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Cutter Consortium
NOVEMBER 28, 2018
An upcoming issue of Cutter Business Technology Journal will explore automation in terms of new technologies, opportunities, applications, and associated challenges. The movement is primarily driven by advances in areas such as AI/machine learning, robotics, drones, blockchain, 3D printing and wearables.
Robots and Pencils
JUNE 22, 2023
A new Journal app will provide smart suggestions to help you journal about your day. The design is well thought out, addressing issues of competing devices that are heavy and uncomfortable due to having batteries integrated into the headset. You can also craft 3D scenes in visionOS using volumes.
Apiumhub
SEPTEMBER 3, 2019
To get going, all you need to do is just enter your baby’s due date and the app will start offering you the right tips and what to expect during pregnancy: from expert guides, helpful articles to handy video guides. This app prepares moms for upcoming doctor’s visits, while an interactive 3D visualization shows the baby’s growth.
TechCrunch
MARCH 30, 2022
If teams don’t do their due diligence, they risk omitting from design documents important mechanical equipment, like exhaust fans and valves, for example, or failing to size electrical circuits appropriately for loads. They’re also becoming huge carbon hogs, consuming roughly 40% of all energy used on the planet.
Altexsoft
APRIL 23, 2020
There are several drivers that push forward the use of deep learning in radiology and other diagnostic practices: the continued growth of computing power and storage technologies, declining cost of hardware, rising cost of healthcare, the shortage of healthcare workers, and. abundance of medical data to train models. Early melanoma detection.
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