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.
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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.
4 minutes read
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.
3 minutes read
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.
3 minutes read
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.
3 minutes read
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.
In this episode, we talk about about how an ant inspired robotics platform could be the future of swarm robotics due to its simple, affordable, flexible, and scalable nature.
The Industrial Revolution began in Britain sometime around 1760. It ushered in a period where coal-fired steam engines powered increased mechanization and productivity and transformed a largely agrarian society into a manufacturing one.
4 minutes read
Deep-Learning technology helps industrial engineers with continuous improvement, line balancing, and optimizing manual labor.
2 minutes read
You've probably heard about the amazing capabilities of some recent AI models, such as GPT, AI21, or BLOOM. Perhaps you use one of these models yourself. Either directly, or through another product like Wordtune, YouWrite, Jasper – or ChatGPT. It turns out that while these models are trained on language data, they can be used for other applications as well. In my latest article, you can read more about applications in materials discovery, cybersecurity, and even building management.
5 minutes read
EPFL researchers have teamed up with Dartfish and the Lausanne Hockey Club to push the boundaries of sports-performance analysis by applying computer vision and machine-learning technology to action on the ice.
3 minutes read
#10 of our Voice of Innovation fireside chat series: Robotics and AI reporter Rachel Gordon speaks to Daniel Situnayake, a founder, engineer, and teacher, on what it means to run sophisticated machine learning algorithms on small devices at the edge of a network.