Today, the IoT has enabled the amount of data we collect to grow by many orders of magnitude. We can sense almost anything, anywhere, and then wirelessly transmit the data to powerful remote Cloud servers. This has opened up opportunities for new applications that previously would not have been possible.
Today, the IoT has enabled the amount of data we collect to grow by many orders of magnitude. We can sense almost anything, anywhere, and then wirelessly transmit the data to powerful remote Cloud servers. This has opened up opportunities for new applications that previously would not have been possible.
In this episode, we discuss how researchers aim to reintroduce human guidance and oversight in the development and use of AI technology to address the risks of misuse and ensure deployment of models has a net positive impact.
Mining is one industrial sector rarely mentioned regarding IoT adoption. That's because, unlike manufacturing, construction, or commerce, the mining industry has unique challenges, making IoT adoption a much more demanding proposition.
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!
Training AI models is costly, forcing a trade-off between compressing large models or accepting weaker performance from smaller ones trained from scratch.
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.
Today, the IoT has enabled the amount of data we collect to grow by many orders of magnitude. We can sense almost anything, anywhere, and then wirelessly transmit the data to powerful remote Cloud servers. This has opened up opportunities for new applications that previously would not have been possible.
In this episode, we discuss how researchers aim to reintroduce human guidance and oversight in the development and use of AI technology to address the risks of misuse and ensure deployment of models has a net positive impact.
Mining is one industrial sector rarely mentioned regarding IoT adoption. That's because, unlike manufacturing, construction, or commerce, the mining industry has unique challenges, making IoT adoption a much more demanding proposition.
The study aims to help society, including regulators considering AI safety regulations and organizations considering adopting AI, understand the societal implications of ever-smarter machines.
In this episode, we talk about NeuralTree: a neural interface capable of detecting neural impulses associated with brain disorders and countering them.
Without data, the IoT would be useless. The electromechanical and electronic sensors used to collect information are just as important to the IoT’s digital brains as sight, smell, hearing, and touch are to human organic ones.
The MAAS project team developed a unique, end-to-end solution for the assembly of airplane wing parts, which uses Photoneo 3D vision technology to handle challenges such as screw hole misalignment, panel to panel step height, and gaps out of specification.
3D scanning and robotic manipulation of very thin objects such as wiring harnesses by the Department of Electrical, Electronic and Information Engineering at the University of Bologna.
In this episode, we talk about a research study from MIT that estimates the carbon emissions associated with autonomous vehicles will match that currently produced by all of the data centers in the world along with how to address it.
EPFL researchers have combined low-power chip design, machine learning algorithms, and soft implantable electrodes to produce a neural interface that can identify and suppress symptoms of various neurological disorders.
Study shows that if autonomous vehicles are widely adopted, hardware efficiency will need to advance rapidly to keep computing-related emissions in check.
Trustworthy and reliable applications are fueling the worldwide IoT success story. This article explains why protecting IoT edge devices is crucial in an environment with threats on the rise.
Fast localization and picking of multiple objects with Photoneo's Locator Studio for 3D picking in collision-free environments, PhoXi 3D Scanner, and a universal gripper.