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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A.I.
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In part II of the Mouser podcast episode, Dr. Smit Patel continued discussing the evolving landscape of digital therapeutics and its impact on healthcare highlighting several key insights into how digital solutions are reshaping medical treatments and the regulatory environment surrounding them.
In the latest BrainChip podcast episode, host Nandan Nayampally sat down with Zach Shelby, CEO of Edge Impulse, to talk about AI at the Edge.
Digital therapeutics are transforming the way we approach medicine and patient care.
Sang-Hoon Bae and collaborators have demonstrated integrated processing hardware they say could revolutionize AI computing
2 minutes read
This one-of-a-kind technology developed by Intelligent Robotics uses AI and Photoneo MotionCam-3D cameras to let robots fully automate the process of beef carcass scribing.
Researchers have trained an artificial intelligence to design the structure of so-called metamaterials with desired mechanical properties for a wide range of applications.
4 minutes read
Volatile Organic Compounds (VOC) sensors are key in detecting potentially dangerous air quality.
Explore how GNSS technology, powered by the u-blox M10 platform, offers pet safety with high-precision, low-energy tracking solutions for our furry friends.
Exploring the Fusion of Neuromorphic Computing and Electronic Noses for Advanced Sensory Solutions
Discover more about the crucial topic of indoor air quality.
In response to the OKDo Engineering Challenge provocation, a team from the University of Maribor submitted a proposal to use the ROCK 5B in their raspberry detection and localization robot.
Learn more about a groundbreaking solution called Temporal Event-based Neural Networks (TENNs) developed by BrainChip, which efficiently combines spatial and temporal convolutions to process sequential data like never before.
Researchers at CMU combined two vision foundational models—models trained on large visual data sets—to help a robot arm recognize the shape and the type of fruit and vegetable slices.
3 minutes read
Modern robots know how to sense their environment and respond to language, but what they don’t know is often more important than what they do know. Teaching robots to ask for help is key to making them safer and more efficient.
5 minutes read
In this episode, we discuss a GPT style AI model being developed by a multidisciplinary team led by the University of Michigan to tackle the battery development bottleneck preventing wide scale adoption of electric vehicles.
16 minutes read