Category
Sebastiaan Laurijsse, Chief Transformation Strategist at Splunk and initiator of the AI Leadership Forum explains about the future of data as part of a series from the founding partners of the AI Innovation Center at High Tech Campus Eindhoven.
7 minutes read
In this episode, we talk about cutting vehicle emissions testing using IoT devices, creating shape memory textiles from recycled wool, and an initiative to develop hydrogen fuel cell powered airplanes.
In this episode, we talk about the first full-size soft tissue 3D printed heart, an AI algorithm that knows what music is best for you, and the newest weather-monitoring satellite.
with Xsens MVN Analyze
6 minutes read
AI for Mechanical Design, the Key to Thwarting Quantum Hackers, Making Better Batteries
How Embedded Machine Learning unblocks the potential of the currently unused enterprise data and enables a new wave of real-time, sustainable, and ROI generating applications.
The accuracy of predictive modeling depends on the sample data's quality, and a robust model learned from that data. Data leakage may occur when the test and training data are shared in a model, resulting in either poor generalization or over-estimating a machine learning model's performance.
In this episode, we discuss Boom’s supersonic passenger jet prototype, how AI is being used to screen drugs for tuberculosis, and how 5G might be affecting your weather forecasts.
As children grow up in an increasingly connected world, it’s essential they understand not only the potential but also the inherent risks of emerging connected technologies.
3 minutes read
The next step in machine learning, how 3D printing will change the airline industry, and why flies hold the secret to robotic flight.
Xsens Launched MotionCloud At All Digital CES 2021
3 minutes read
A smart thermostat quickly learns to optimize building microclimates for both energy consumption and user preference.
Duke team disentangles neural networks to understand how they see the world
Written by Dr Jason Konrath
3 minutes read
A new approach to image search uses images returned by traditional search methods as nodes in a graph neural network through which similarity signals are propagated, achieving improved ranking in cross-modal retrieval.
14 minutes read
